Adams - Science topic

Artificial intelligence (AI) is a trending topic in GIScience, and spatially explicit AI techniques are increasingly sought after (Janowicz et al., 2020). In November 2024, Google released its Population Dynamics Foundation Model (PDFM) embeddings to support various spatial prediction tasks (Agarwal et al., 2024). The company claims that these embe...

In the current paper, an analysis of magnetohydrodynamic Williamson nanofluid boundary layer flow is presented, with multiple slips in a porous medium, using a newly designed human-brain-inspired Ricker wavelet neural network solver. The solver employs a hybrid approach that combines genetic algorithms, serving as a global search method, with seque...

There is much more going on in short-term memory than simply storing information. Today we know that it is part of a more complex system with a special and complex retention system, which is in close cooperation with long-term memory and consists of interacting subsystems (Baddeley, 1974). This system constitutes working memory, is involved in a la...

The automatic segmentation of water bodies from remote-sensing satellite images offers valuable insights into water resource management, flood monitoring, environmental changes, and urban development. However, extracting water bodies from satellite imagery can be challenging due to factors such as varying water body shapes, diverse environmental co...

Resumo: Compreende o serviço de bibliometria como um dos serviços de apoio à pesquisa. Contextualiza a oferta desse serviço nas bibliotecas de universidades federais brasileiras. Desenvolve uma pesquisa qualitativa e exploratória a partir da análise das páginas web de 62 bibliotecas e também dos portais das universidades. Constata que nenhuma bibli...

Artikel ini membahas tentang penciptaan manusia menurut perspektif Islam, terutama melalui penjelasan yang terdapat dalam Al-Qur’an. Artikel ini menguraikan dua pandangan utama mengenai asal-usul manusia: pandangan ilmuwan Barat yang mengaitkan manusia dengan evolusi dari kera melalui seleksi alam, dan pandangan Islam yang menegaskan bahwa manusia...

Alpinia rda Zinia & F.H.Khan is described and illustrated as a new species from the district of Bogura, Bangladesh Zingiberaceae family contains First published in Tekhno-Bot. Slovar 682. 1820 [3 Aug 1820] (as "Zinziberaceae") (1820) nom. cons. Alpinia Roxb. First published in Asiat. Res. 11: 350 (1810), nom. cons. Alpinia mutica Roxb. First publis...

Mango farming is an important economic activity in Tanzania, contributing to the economy through exports of mango fruits and products and acting as a primary source of income for many farmers. Maximum temperature is one of the critical weather variables affecting the growth of mango, having an impact both on flowering stages and fruits, so failure...

Giovanni Arrighi, an authority on the political economy and geopolitics of world social change, here reflects comparatively on states and markets East and West at the dawn of capitalism. Ranging widely across Smith, Marx, Weber and Braudel, he assesses the logic and interplay of China's tribute trade system and Europe's emerging capitalism. This ar...

Pastors face burnout due to the myriad of roles and stressors in pastoral ministry (Adams & Hough, 2017, Pastoral Psychology, 66(2), 147–175). Mindfulness-based interventions have been shown to improve emotional regulation and stress management (Proeschold-Bell et al. 2023 Journal of Primary Prevention, 34(6), 439–453). The purpose of this study wa...

Soil temperature is a critical factor influencing plant growth, crop yield, and ecological processes. This study evaluates feature selection techniques to improve soil temperature forecasting. We applied these techniques to 39 weather stations across Florida, using meteorological data spanning 2000 to 2022, with 13 input variables, including evapot...

[John Embry and Andrew Hepburn provide a valuable entry into the world of finance. The two analysts illuminate the shadowy trail of the “Plunge Protection Team” in its apparent mission to rig the American stock markets. Their account is backed up by considerable indirect evidence as well as statements by credible insiders. If their account is corre...

In this paper, we introduce StochGradAdam, a novel optimizer designed as an extension of the Adam algorithm, incorporating stochastic gradient sampling techniques to improve computational efficiency while maintaining robust performance. StochGradAdam optimizes by selectively sampling a subset of gradients during training, reducing the computational...

The current research is a revolution in the field of neural computation as a quite new stochastic technique based on Ricker wavelet neural networks (RWNNs) is developed to analyze the Maxwell fluid (Max-F) boundary layer flow (BLF) with heat and mass transfer effects over an elongating surface. The global and local search solvers used with RWNNs ar...

Rice leaf diseases represent a major hazard to rice production worldwide, affecting the output, integrity, and nutritional value of the crop. Conventional methods are time-consuming, costly, and often inaccessible to smallholder farmers, necessitating scalable and efficient solutions. This research delves into the application of Vision Transformers...

The muon optimizer has picked up much attention as of late as a possible replacement to the seemingly omnipresent Adam optimizer. Recently, care has been taken to document the scaling laws of hyper-parameters under muon such as weight decay and learning rate. However, at much larger scales the iterative orthogonalization procedure present in muon m...

This author believes that there have been three clear major development thinking blunders since 1987 when trying to address the socio-environmental consequences of living under socio-environmentally distorted traditional market thinking since 1776 when the world endorsed and promoted Adam Smith’s ideas while the distortions embedded in that market...

In this study, we develop a fractional-order mathematical model to investigate the dynamics of mosquito populations with and without Wolbachia infection, focusing on its impact on dengue transmission and disease control. The model incorporates key biological factors, including reproduction, mortality rates, and Wolbachia transmission probabilities,...

Recently, numerical analysis has been used effectively for estimating the lifetime distribution parameters in the literature. Therefore, the main objective of this paper is to introduce a new numerical estimation technique, such as Adams's method. This method has been used for estimating the Weibull model parameters and comparing them to the Bayes...

Penelitian ini bertujuan untuk mengimplementasikan arsitektur MobileNet dalam klasifikasi jenis kulit wajah, termasuk kulit normal, kering, dan berminyak, guna menentukan kandungan skincare yang sesuai. Dataset terdiri dari 450 gambar yang dibagi menjadi tiga kelas jenis kulit. Model dilatih menggunakan MobileNet dengan 50 epoch, ukuran citra 224x2...

In the opening of the book's narrative, akin to our bureaucratic efforts, we witness failures of remarkable proportions where the decisions taken lack ambition, move at a painfully slow pace, and are too timid to provide a timely and effective solution to the immense scale of the climate crisis. These collective defeats are exemplified by the deadl...

To improve the flexibility and stability of high-power aviation dry friction clutches, aiming at engagement time and impact torque, a clutch model was constructed using UG software. Orthogonal experiments were designed and dynamic simulation was conducted using Adams software to generate sample data. The effects of friction coefficient, logarithm o...

The socio-environmental consequences created by the socio-environmentally distorted traditional market thinking since 1776 when the world endorsed and promoted Adam Smith’s ideas and dealing with them has led according to this author to three clear major development thinking blunders while the distortion problem remains active, one after the other:...

This chapter opens by examining the dominant linearities in academia—powerful imaginaries that guide and shape scholarly action. While offering a critical lens, it also recognizes the coherence, purpose, and logic inherent in each linear pathway, reflecting visions of progress, achievement, and value creation shaped by specific contexts and tempora...

The development of machine learning (ML) technologies provide a new development direction for cryptanalysis. Several ML research in the field of cryptanalysis was carried out to identify the cryptographic algorithm used, find out the secret key, and even recover the secret message The first objective of this study is to see how much influence optim...

In this study, we present a deep learning-based approach for the classification of Indian medicinal plant leaves using transfer learning with the Xception convolutional neural network architecture. TensorFlow's high-level API is used to preprocess and load the dataset which consists of labeled photos of different species of medicinal leaves. The mo...

Automating the detection of the COVID-19 pandemic has become necessary for assisting radiologists and medical practitioners in the diagnosis process. It enables them not only to save time through early diagnosis but also to ensure that they are making more accurate diagnoses. Therefore, this research presents a novel approach for automatically iden...

Scholars have extensively studied discriminatory recognition of local religions; however, few have emphasised proposing solutions using legal politics as an approach. This study aims to identify the legal politics underlying the legislation on the recognition of local religions of customary communities and its implications for services in obtaining...

Accurate volume measurement of fruits is key in the agricultural and food industries, supporting better logistics, quality assessment, and processing decisions. However, traditional methods for measuring volume are often manual and labor-intensive, creating bottlenecks in high-scale operations. This study presents a novel approach that utilizes con...

Araştırmanın amacı çocuk edebiyatı ürünlerinin ilettiği yaşam beceri bileşenleri bağlamında incelenmesi, bu eserlerin çocuk eğitimine katkıları bağlamında özelliklerini anlamak ve potansiyel etkilerini ortaya koymaktır. Bu minvalde incelen çocuk kitaplarında çocuk eğitimine ait bulguların bu alanda çalışan araştırmacılara da kaynaklık edeceği düşün...

Penelitian ini mengembangkan sistem klasifikasi sampah menggunakan algoritma Convolutional Neural Network (CNN) untuk membedakan sampah organik dan anorganik. Arsitektur CNN yang digunakan terdiri dari input layer berukuran 150 x 150 x 3, tiga lapisan konvolusi dengan filter 3x3 yang jumlahnya bertambah secara bertahap (32, 64, dan 128), dilengkapi...

The article presents a case study of an autobiographical narrative interview with Adam—a young influencer who creates books-related content. Special attention is given to Adam’s relationship with his audience and how it influences his self-perception. Of significant importance to the influencer’s biography are Adam’s non-heteronormative sexual orie...

Bu çalışma, 1988 yılında TRT ekranlarında yayınlanmış olan Kavanozdaki Adam televizyon dizisinin Joseph Campbell’in monomit kuramı temel alınarak Christopher Vogler tarafından oluşturulan 12 aşamalı model üzerinden çözümlenmesi amacı ile gerçekleştirilmiştir. Anlatı analizi yöntemi kullanılarak gerçekleştirilen çalışmada Kavanozdaki Adam dizisi, Tü...

School culture is defined as a set of values, beliefs, norms and traditions shared by school members. When the current literature is examined, it is seen that bibliometric studies on school culture are insufficient and more research is needed in this field. The aim of this study is to examine scientific publications such as articles, books and pape...

Despite China’s increasing integration into the global economy, there remains a lack of comprehensive understanding of the drivers and consequences of corporate social responsibility (CSR) reporting in this unique and dynamic sociopolitical context. This systematic literature review examines the various factors that influence the nature, extent, an...

This study aims to develop a predictive model for forecasting product sales using the Multilayer Perceptron (MLP) algorithm. The model's performance was evaluated using key metrics, including the Mean Absolute Error (MAE), Mean Squared Error (MSE), and R² score. The model achieved an MAE of 0.861, an MSE of 9.521, and an impressive R² score of 0.99...

Penerapan akuntansi akrual di rumah sakit pemerintah bertujuan untuk meningkatkan transparansi dan akuntabilitas laporan keuangan. Penelitian ini menganalisis bagaimana efektivitas penerapan akuntansi akrual di RSUP H. Adam Malik dengan meninju aspek pencatatan pendapatan dan bebean, system akuntansi informasi, kepatuhan terhadap regulasi, serta ke...

O final do século XX foi profícuo na evidência de linguagens artísticas hibridizadas com reflexos no espaço público. O objetivo deste artigo é fazer uma revisão de literatura que repasse conceitos referenciais para práticas artísticas características de um campo de hibridizações for- mado entre o mobiliário urbano e a arte pública. Neste trabalho,...

Umberto Eco in The Search for the Perfect Language explores the 'dream of a perfect language' that has sought to recapitulate the lost perfection of Adam's original language. Humanity is seen as forgetful of the preternatural knowledge once contained in a transparent language that perfectly identified essences. Eco's historical narrative of this pu...

Plant diseases pose a serious challenge to agriculture by reducing crop yield and affecting food quality. Early detection and classification of these diseases are essential for minimising losses and improving crop management practices. This study applies Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models to classify plant...

Resumo O emprego de música preexistente é uma característica do cinema contemporâneo (Hubbert, 2014; Chion, 2019) e, no caso da música clássica, os repertórios barroco e minimalista se destacam. Observamos essas recorrências em nossa pesquisa de filmes contemporâneos autorais a partir de um mapeamento do repertório em filmes participantes dos festi...

In this paper, a hybrid model framework based on quantum computing optimization is proposed for resource demand forecasting and data classification tasks. The study first constructs an AR model for demand forecasting, determines the lag order by PACF and ACF, and transforms the model parameters into QUBO form for optimization and solution after dis...

Objective This study aims to elucidate the current status and trends in clinical decision support systems (CDSS). It will analyze the direction of research development in this field and provide valuable references for future research and the application of CDSS. Methods We conducted a search of the Web of Science Core Collection database from Janu...

The discovery of constitutive models for hyperelastic materials is essential yet challenging due to their nonlinear behavior and the limited availability of experimental data. Traditional methods typically require extensive stress-strain or full-field measurements, which are often difficult to obtain in practical settings. To overcome these challen...

We present Dream Hotel Room 1, a sculptural artwork by Carsten Höller (with Adam Haar Horowitz) that uses dream engineering techniques to induce flying dreams. Dreams of flying are an exceptional experience; even years after their occurrence, people report these remain some of the most meaningful and memorable dreams of their lives. Existing litera...

Çok net olarak ve özel bir vurgu ile ifade etmek isterim ki, Türkiye’de akademik yozlaşmalar artık “akademik etik” kavramı ile izah edilemeye-cek bir noktaya ulaşmıştır. Bilimsel terminolojide kullanılan terimle-rin/kavramların (intihal, aşırma, uydurma, çarpıtma, fabrikasyon, dupli-kasyon, kopyalama, klonlama, dilimleme, kesme-yapıştırma, karıştır...

Perkembangan teknologi memiliki peran penting dalam upaya pelestarian budaya, terutama dalam melestarikan seni tradisional seperti wayang. Wayang merupakan salah satu warisan budaya Indonesia yang telah mengalami penurunan minat sebesar 23,06% dalam kurun waktu 2018 hingga 2021. Sehingga, diperlukan pendekatan baru yang lebih modern untuk dapat men...

First-order optimization methods remain the standard for training deep neural networks (DNNs). Optimizers like Adam incorporate limited curvature information by preconditioning the stochastic gradient with a diagonal matrix. Despite the widespread adoption of first-order methods, second-order optimization algorithms often exhibit superior convergen...

Anchor fan-to-sheet debonding remains one of the least understood yet critical failure mechanisms in externally bonded and anchored carbon fiber-reinforced polymer (CFRP) composite strengthening systems. While other failure modes, such as fiber rupture and concrete cone pullout, have been extensively studied, limited attention has been given to the...

Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and organizations, causing significant financial losses, identity theft, and severe damage to institutional reputations. Existing phishing detection methods often struggle to simultaneously achieve high accuracy and explainability, either failing to detect...

When considering Scotland’s place in the Enlightenment, the nation’s economic growth, its investments in universities and education, and eighteenth-century Scotland’s place as Europe’s centre for scientific and medical research loom large—as do the writings and ideas of thinkers such as Frances Hutcheson, Adam Smith, James Hutton, Thomas Reid, and...

Draft paper for 'Polycritical Law' workshop, LSE, 8-9 May 2025 Introduction That we are in a condition of polycrisis is now a well-established trope. As its recent progenitor Adam Tooze (2022) states, 'A polycrisis is not just a situation where you face multiple crises. It is a situation like that mapped in the risk matrix, where the whole is even...

In the oil and gas business, mining, and underground engineering, drilling activities are very important. It is very important to get the best results while lowering practical risks and costs. Rate of Penetration (ROP) and other traditional scientific and physics-based models for predicting drilling success have been limited because they can't adap...

Deep Knowledge Tracing (DKT) models student learning behavior by using Recurrent Neural Networks (RNNs) to predict future performance based on historical interaction data. However, the original implementation relied on standard RNNs in the Lua-based Torch framework, which limited extensibility and reproducibility. In this work, we revisit the DKT m...

Tujuan penelitian ini untuk menilai hubungan antara kadar vitamin D dengan frekuensi bangkitan pada pasien epilepsi. Penelitian ini berupa analitik observasional dengan desain cross sectional, yang dilaksanakan di Instalasi Rawat Jalan Rumah Sakit Adam Malik mulai dari bulan Februari 2024 sampai Mei 2024. Data yang digunakan pada penelitian ini ada...

Purpose: This article analyses the strategic importance of executive education towards the success of organizations. Methodology: This study used a qualitative research design and looked at correlational aspects of different variables. This provided an in-depth understanding of the variables, experiences, drivers, and behaviours. The data collected...

Adam Michalchuk and Tomislav Friščić outline the importance of research into non-covalent bonds and their implications in mechanochemistry.

We introduce AlphaGrad, a memory-efficient, conditionally stateless optimizer addressing the memory overhead and hyperparameter complexity of adaptive methods like Adam. AlphaGrad enforces scale invariance via tensor-wise L2 gradient normalization followed by a smooth hyperbolic tangent transformation, $g' = \tanh(\alpha \cdot \tilde{g})$, controll...

Karl Dietrich Adam und Renate Kurz: Eiszeitkunst im süddeutschen Raum. Konrad Theiss Verlag Stuttgart 1980. 172 S., 72 teils farbige Bildtafeln. Leinen DM 68,-

The social logic of cultural change has long preoccupied both cultural historians andsociologists, particularly during periods when the “doxa” – the normative, ideological, andaesthetic standards taken for granted – undergoes rapid and profound transformations.Such periods of artistic, social, economic, and political upheaval often arise from strug...

Purpose Post-merger integration (PMI) processes are essential to prevent mergers and acquisitions (M&A) failures and support company resilience to societal challenges. Still, we lack a comprehensive understanding of corporate governance value creation within PMIs. The composition of the boards, characteristics of their members and board links to co...

We study a particular family of elements in the cohomology of the $\mathbb{C}$-motivic Steenrod algebra, also known as the $\mathbb{C}$-motivic Adams $E_2$-page. This family exhibits unusual periodicity properties, and it is related both to $h_1$-localization and to the algebraic Hurewicz image of the motivic modular forms spectrum $\mathrm{mmf}$.

This paper considers a downlink multiple input single output (MISO) non‐orthogonal multiple access (NOMA) system over Nakagami‐m fading channels, where a multi‐antenna base station (BS) serves several single‐antenna users with the statistical channel state information (CSI) of each user. We propose a novel low‐complexity transmit antenna selection...

Optimizers play important roles in enhancing the performance of a deep network. A study on different optimizers is necessary to understand the effect of optimizers on the performance of the deep network for a given target task, such as image classification. Several attempts were made to investigate the effect of optimizers on the performance of CNN...

The object of this study is to predict the rationality of financial decisions in the context of digitalization of financial markets. In the context of digitalization of financial markets, about ¼ of financial decisions turn out to be irrational for financial market participants. Under these conditions, the problem is the inability of financial mark...

Prediction and recognition of animal emotions has become an interesting and challenging problem. This study proposed a transfer learning approach using computer vision techniques to predict dog emotions and comparing the effectiveness of faced images versus full body images to predict emotions in dogs. To answer this question, we meticulously asses...

RESUMEN: Se presentan los resultados de aplicar los métodos de reparto de escaños de Hamilton, Adams, Dean, Hill, Webster, Jefferson, belga y minimax[e] entre las 4 provincias (circunscripciones) de Cataluña: Barcelona, Tarragona, Girona y Lleida; para ello, se tiene en cuenta tanto la población de cada provincia, para el censo 2024, como la dimens...

Because the sacred texts, encompassing the Qur'an and the Testaments, offer paramount insights into the realization of human excellence and given the Qur'an's authenticity and its complementary nature to preceding scriptures, our study delves into discerning verses from the Qur'an, consulting the perspectives of philosophers and thinkers, and delvi...

Deep neural networks (DNNs) have achieved high accuracy in various applications, but with the rapid growth of AI and the increasing scale and complexity of datasets, their computational cost and power consumption have become even more significant challenges. Spiking neural networks (SNNs), inspired by biological neurons, offer an energy-efficient a...

The under-representation of women in sports in Kenya is a significant issue, with lower levels of participation evident in various studies. Despite this, there is a lack of research specifically addressing the role of peer support in sports participation and evaluate the role of family support in female participation in sports among trainees in tea...

We study whether and how the choice of optimization algorithm can impact group fairness in deep neural networks. Through stochastic differential equation analysis of optimization dynamics in an analytically tractable setup, we demonstrate that the choice of optimization algorithm indeed influences fairness outcomes, particularly under severe imbala...

Utilization of computer vision can be applied in various aspects of daily life, reducing dependence on human labor. One of its implementations is in industry, such as in the production process of motorized vehicles, to sort or classify parts or goods. The computer vision process involves many stages, such as image capture, image processing, image a...

ADT-007 is a novel reversible pan-RAS inhibitor with ultra-high potency and unique selectivity to inhibit the growth of cancer cells with mutant or activated RAS by blocking GTP activation of RAS. ADT-1004, an orally bioavailable prodrug of ADT-007, displayed robust antitumor activity in multiple mouse models of pancreatic ductal adenocarcinoma (PD...

Передумови . Вибір найкращого оптимізатора є важливим кроком у розробці ефективних систем автоматичної класифікації зображень. Зокрема, для нейромереж, побудованих на основі згорткових нейронних мереж (ЗНМ), вибір між популярними методами оптимізації, такими як Adam (Адаптивна Оцінка Моменту) та SGD (Стохастичний Градієнтний Спуск), може суттєво вп...

Вступ . Прогнозування цін віртуальних активів є важливим завданням через їх високу мінливість. Нейронні мережі широко використовуються для таких задач, але часто стикаються з проблемою наївних передбачень, коли наступне значення надто схоже на попереднє, що знижує ефективність прогнозування. Матеріали та методи. Дослідження проводилося на основі да...

This study aims to enhance economic growth forecasting in the United Arab Emirates (UAE) by implementing a Seq2Seq deep learning model with an attention-driven Long Short-Term Memory (LSTM) network. Traditional statistical models often fail to capture the complex temporal dependencies and nonlinear trends inherent in economic time series data. To a...

We describe some periodic structure in the cohomology of the moduli stack of 1-dimensional formal group laws, also known as the $E_2$-page of the classical Adams--Novikov spectral sequence. This structure is distinct from the familiar $v_n$-periodicities, and it displays interesting number-theoretic properties. Our techniques involve the $\mathbb{C...

Introduction: The researchers introduced an Image Processing Based Attendance System with Dual-Stage LSTM and Machine Learning Models a pioneering solution in automated attendance tracking. This system innovatively combines the precision of facial landmark detection with the advanced learning capabilities of a Dual-Stage Long Short-Term Memory (LST...

In this paper, we are concerned with the existence of a ground state solution for a logarithmic weighted p-biharmonic equation under Dirichlet boundary conditions in the unit ball $B$ of $\mathbb{R}^{N}$. The reaction term of the equation is assumed to have exponential growth, in view of Adams' type inequalities. It is proved that there is a ground...

The Mathematical Formula for calculating the Human History

Diseases of citrus fruits and leaves are a serious challenge to farm production and economic viability. The need for effective, automated disease detection methods is on the rise due to the drawbacks of the conventional manual detection method. In this paper, a lightweight deep learning-based classifier using MobileNetV2 for real-time diagnosis of...

This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B, and ADAM—each employing distinct methodologies and widely recognized in the domain of quantum machine learni...

1.0. INTRODUCTION It is good that a man try all his possible best to keep the laws of God but mans best still requires grace and power from God for a man to acceptably and continuously obey the laws of God. If a man could be doing something and yet the same man hates the things he has been doing, then such a man is under the bondage of sin and need...

La rationalité économique est la clef de voute de nombreuses théories qui souffrent de deux biais : le premier concerne la relation entre l'observateur et celui qui est observé, le second se rapporte au contenu idéologique de la notion de rationalité. Dans cette tribune, nous analyserons le premier biais en considérant deux situations l'une théoriq...

The representation of Catalan citizens in the Parliament of Catalonia corresponding to four constituencies that correspond to the four provinces of the Autonomous Community is analyzed. According to the principle “one person, one vote” or “one representative for the same number of people represented”, a significant bias is observed between the curr...

Sentiment analysis in low-resource languages like Bangla has gained significant attention in recent years due to the growing demand for language-specific natural language processing (NLP) applications. While Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) architectures have demonstrated considerable success in handling sequential tex...

3D Gaussian Splatting (3DGS) is widely used for novel view synthesis due to its high rendering quality and fast inference time. However, 3DGS predominantly relies on first-order optimizers such as Adam, which leads to long training times. To address this limitation, we propose a novel second-order optimization strategy based on Levenberg-Marquardt...

Background Irritant dermatitis is a common complication among stoma patients, significantly impacting their quality of life. Early diagnosis is essential, but limited access to healthcare and poor self-management skills often delay treatment. This study aimed to assess the effectiveness of two advanced convolutional neural networks (CNNs), ConvNeXt...

Minimnya tayangan khusus balita, membuat kehadiran konten Kinderflix di berbagai media sosial seperti Youtube, Instagram, dan TikTok menjadi sebuah acara favorit yang langsung disukai oleh para balita di Indonesia. Sayangnya, hal ini tidak dibarengi oleh pemahaman masyarakat khususnya para pria dewasa yang salah menafsirkan kehadiran tayangan terse...

Teaching relationship education (RSE) can be a challenge in schools, and teachers in England are being encouraged to challenge “incel” culture and misogyny through the relationship, sex and health education (RSHE) curriculum within schools (Adams et al 2023). One in six boys aged six to 15 in the UK have heard of Andrew Tate, a social media influen...

Introduction; In today's academic realm, the well-being of undergraduates is a growing concern. Objective; Our project aims to tackle this by using Artificial Intelligence (AI) and Machine Learning (ML) to track and evaluate students' mental health. Method; We've analysed a dataset from a survey for undergraduates, using a mix of algorithms like SV...

This study investigates the performance of different optimization algorithms within Transfer Learning for weed image analysis. Utilizing pre-trained Convolutional Neural Networks (CNNs), we compare Adam, SGD, and RMSprop optimizers for fine-tuning, aiming to enhance weed classification accuracy with limited data. The research evaluates each optimiz...

Traffic forecasting with high precision aids Intelligent Transport Systems (ITS) in formulating and optimizing traffic management strategies. The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity. To address this problem, this paper uses the Tree-st...

The (In the Heart of Justice) project envisions a Primary Court building integrated with a Notary Public Department in Adam, Oman. This project aims to create a space that upholds the values of justice, fairness, and accessibility, fostering trust in the legal system while addressing the diverse needs of its users. Located in Ad Dakhiliyah Governor...