Transformers - Science topic

Autonomous berthing is the last crucial step in achieving full autonomy for unmanned surface vehicles (USVs). It can be transformed into a trajectory-tracking problem. A novel autonomous berthing controller based on fixed-time generalized super-twisting is proposed and the unknown disturbance and model nonlinearity are also considered. First, the f...

The article shows that the Archimedean spiral, usually described as a smooth spiral, can be transformed in many different shapes. The main part of the article concentrates on the curvature of the transformed spirals. It will also be shown that the shape some of them is an approximation of spiral antennas.

The integration of Artificial Intelligence (AI) in education is rapidly transforming the teaching and learning paradigm. Recent systematic reviews have revealed a surge in research examining the efficacy, implementation, and potentialities associated with AI in education. This trend reflects a growing acknowledgment of its capacity to revolutionize...

"Radical Freud: Reconstructing the Bisexuality Thesis" reveals a radical dimension to Sigmund Freud's sexual theory that picks up and continues from previous work by Thomas Olver. Olver argues that Freud's radical heritage has been transformed into an orthodox school with an internal stasis that is unassailable from within but increasingly challe...

This book, bringing together selected papers from the 5th International Conference on Research in Management and Technovation, explores the global impact of technology, corporate management, and innovation. In a time of fast growth and widespread tech use, the relationship between business and technology has transformed at a rapid pace. From comput...

The wonders of artificial intelligence are making the world move quickly. Artificial intelligence technology has added innovations and new value to present-day human professional and personal lives. Rapid transformation can sometimes be frightening, but artificial intelligence technology has supplemented human beings with various unique aspects on...

Recently, OpenAI released the Chat GPT o1-preview model, which has reasoning abilities comparable to ranking within the top 2,000 in the U.S. Math Olympiad, significantly surpassing the average human linguistic ability. This Transformer-based model has become the standard not only in language processing but also in various fields such as vision and...

By leveraging the power of machine learning (ML) techniques, particularly Transformer technology, this study examines the validity of a conceptual model involving downscaling and upscaling to determine important factors for predictability (Shen et. al. 2010a, b). Providing a proof of concept, chaotic data from our recently-developed generalized Lor...

It is crucial to identify methods to detect debris due to a new tendency that is emerging in LEO orbits, which is threatening the functionality of satellites and interplanetary missions. This research solves this problem using an improved YOLO-V8 model that enables the detection of space debris with higher precision while using adaptive dynamic lea...

I’m pleased to invite chapter proposals for the book Gamification Practices for Service Ecosystem Experiences, to be published by IGI Global. The book will explore how gamification can transform service ecosystems and address challenges like value creation and ethical considerations. 📅 Key Dates: Proposal Submission Deadline: January 5, 2025 Full...

This article explains the Nour integral transform technique and denoted by "NO transform ", it's fundamental hypothesis and its power to solve the exact solution of partial differential operator equations (PDOE's) have been introduced and shown by the exact solution of various elementary engineering partial differential operator equations such as:...

This article explains the Nour integral transform technique and denoted by "NO transform ", it's fundamental hypothesis and its power to solve the exact solution of partial differential operator equations (PDOE's) have been introduced and shown by the exact solution of various elementary engineering partial differential operator equations such as:...

This study proposes an innovative model (i.e., SensoryT5), which integrates sensory knowledge into the T5 (Text-to-Text Transfer Transformer) framework for emotion classification tasks. By embedding sensory knowledge within the T5 model's attention mechanism, SensoryT5 not only enhances the model's contextual understanding but also elevates its sen...

Model of the Lake Titicaca level long-term fluctuations are presented. Estimation of the nonlinear dependence between outflow from the lake and the level affected on the hydrological regime of the lake is the problem with practical applications. It was shown that decrease of approximately 25% in the average river inflow lead to sufficient dropping...

This work demonstrates the (Ahmed-Emad-Murat) "AEM" transform technique, where its important properties and its capability to evaluate a particular solution for partial differential equations have been introduced and shown via the solution of fundamental examples and physical partial differential equations.

As social media became more and more popular around the globe in late 2010, new theories were developed to theorize their effects on political activism and the ways through which social movements had been transformed. Connective action is a theoretical concept offered to understand the transformation of political activism in the age of digital medi...

In this study, the fifth-order modified Korteweg-de Vries (F-MKdV) equation is first addressed using Hirota’s bilinear method. Thereafter, the exact and approximative solutions of the generalized form of the F-MKdV equation are investigated using the modified Kudryashov method, the Riccati equation and its Backlund transformation method, the solita...

Explores the evolving landscape of open and distance learning (ODL) and examines how artificial intelligence (AI) can transform educational methods and outcomes. It outlines potential advances in AI that could enhance learning environments and personalize the student experience. Key innovations discussed include adaptive learning platforms, AI-driv...

Monkeypox is now a major public health problem because of threats of infection, which include animal to human with human to human transmissions of the disease. In this paper, we proposed a SEIR-type model to understand different routes of disease spread by including human-to animal transmission and intervention strategies. Isolation, hospitalizatio...

This review focuses on recent advancements in data-driven methods for analyzing flow and transport in porous media, which are showing promising potential for applications in energy, chemical engineering, environmental science, and beyond. We highlight novel methodologies driven by machine learning (ML), including image-based techniques, data-driven...

Digital transformation (DT) has permeated the zeitgeist of information systems research and practice as an integral component of organizational survival with several benefits outlined in the literature such as enhanced cultures, transformed stakeholder capabilities and optimized processes among many others. However, in spite of the benefits, a fail...

Human interaction with computers has undergone significant transformation, driven by the integration of Augmented Reality (AR) and Virtual Reality (VR) technologies. This chapter provides a comprehensive review of how these immersive technologies are reshaping the landscape of human-computer interaction (HCI), offering new dimensions of engagement...

Perovskite Solar Cells (PSCs) have acclaimed their potential in the arena of photovoltaic technology due to their high efficiency, low cost, and tunable properties in recent past. Recent advances focus on improving stability, efficiency, and scalability, with power conversion alongside its augmented efficiencies (>25%). The innovations primarily in...

How to cite this article: Kiswendsida Mahamoudou OUEDRAOGO, Delwendé Abdoul-Kabir KAFANDO, Lassané SAWADOGO, Francois Xavier OUEDRAOGO and Pierre Clovis NITIEMA, Laplace transform for the compound Poisson risk model with a strategy of partial payment of premiums to shareholders and dependence between claim amounts and the time between claims using...

The modeling of state transitions in computational machines holds great significance in diverse domains of science, technology, and engineering. Characterization of system behavior, its synthesis, and analysis demands insights into machine configuration, which can only be achieved through proper modeling of the state transitions. The current study...

Accurately modeling the correlation structure of errors is essential for reliable uncertainty quantification in probabilistic time series forecasting. Recent deep learning models for multivariate time series have developed efficient parameteriza-tions for time-varying contemporaneous covariance, but they often assume temporal independence of errors...

Building character and resiliency is fundamental to the Marine Corps. It is the process by which Marines acquire values as their career progresses; it is indispensable to the Marine Corps' core values and ethos and must be introduced through transforming our Nation’s youth into Marines and further developed and sustained throughout their career. Th...

The main objective of this study is to introduce an improvement of Picard's method, a technique commonly used to effectively solve a set of nonlinear fractional differential equations based on Caputo's fractional derivative. Using the Picard's method to solve fractional differential equations is straightforward. However, dealing with the integral i...

The rapid advancement of artificial intelligence (AI) is reshaping industries and transforming the way organizations operate. However, adopting AI across an enterprise requires more than just integrating new technologies. It demands a holistic, strategic approach that addresses technological, cultural, and operational changes. This article explores...

In 1988, D. Hickerson gives a proof of the mock theta conjectures using Hecke-type identities discovered by G.E. Andrews [10]. In 2008, A. Folsom provide a short proof for the same by realizing each side of the identities as the holomorphic projection of a harmonic weak Maass form, in respons to a remark made by Bringmann - Ono - Rhoades [9]. Both...

A Hopfield network exhibiting dense associative memory is obtained from a statistical mechanical interpretation of a product space of state vectors s = (x, y) constructed from normed state vectors x and memory state vectors y. The energy of a particular state s = (x, y) is chosen to be the signed dot product: E(x, y) = −x·y. The expected energy fun...

Most conventional power systems adopt radial distribution network wherein multiple loads are connected across the distribution transformer. As the number of loads increases, it results in poor voltage profile at the distant receiving end reducing power delivery. This issue worsens with the large-scale influx of electric vehicles and power converter...

This paper reviews the transformer-less single-phase common-ground (TLSPCG) rectifiers. According to the number of output terminals and the polarity of the output voltage, the existing TLSPCG rectifier topologies are divided into two categories, that is, three-terminal outputs rectifiers with bipolar DC voltage and two-terminal outputs rectifiers w...

Agile software development methodologies have grown in popularity during the past few years. One of the key components of agile development is the use of user stories to describe software requirements. However, creating and managing user stories can be time-consuming and error-prone. In this paper, we present a novel method to generating user stori...

This paper aims to derive an adaptive optimal speed regulator for permanent magnet synchronous motors (PMSMs) affected by both disturbances and actuator faults. Load torque is first modeled as a mismatched disturbance, where its estimation via a disturbance observer is drawn to construct an error system. Then, optimal speed regulation problem for P...

Where, therefore, do you come from, as a researcher?" Faced with this question, which is part of the invitation to write this text, I answer: I'm a sociologist. From this intellectual background, I construct my autobiographical narrative, where I give particular importance to the way in which my contact with this science permeates the academic fiel...

Let S( n , t , k ) be the maximum size of a code containing only vectors of the k th shell of the integer lattice Z <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> such that the inner product between distinct vectors does not exceed t . In this paper we compute lower bounds for S( n ,...

Methyl ketone conversion to carboxylic acids through the Haloform Reaction (HR) is a fascinating topic within the realm of organic synthesis. This field involves the manipulation of functional groups to create desired compound structures, and carbonyl-containing compounds, such as aldehydes and carboxylic acids, play a crucial role. These compounds...

In this study, we enhance the understanding of entanglement transformations and their quantification by extending the concept of Schmidt vector from pure to mixed bipartite states, exploiting the lattice structure of majorization. The Schmidt vector of a bipartite mixed state is defined using two distinct methods: as a concave roof extension of Sch...

This work addresses the distributed predefined-time cooperative formation of heterogeneous multiagent systems comprising unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs) with inherent dynamic uncertainties. By transforming the model coordinates, the underactuated heterogeneous USV-UAV systems can be converted into a fully actuat...

This study presents a multi-document text summarizing system that employs a hybrid approach, including both extractive and abstractive methods. The goal of document summarizing is to create a coherent and comprehensive summary that captures the essential information contained in the document. The difficulty in multi-document text summarization lies...

In recent years, there has been a noticeable surge in research activities focused on sentiment analysis within the Kannada language domain. The existing research highlights a lack of labelled datasets and limited exploration in feature selection for Kannada sentiment analysis, hindering accurate sentiment classification. To address this gap, the st...

This paper presents an extended quasi-bond method in order to provide a robust numerical tool for refined modelling of continuous and discontinuous problems in solids. Firstly, the bond-scale constitutive formulations are enriched by incorporating the effect of shear and lateral deformations. In that process, we tackle successfully the persistent t...

1. Abstract The rapid advancement of Artificial Intelligence (AI) is transforming industries across the globe, profoundly affecting organizational structures, strategies, and workflows. This article explores how AI influences organizational change, identifying key dynamics and outlining management strategies for successful integration. Drawing on t...

The perception of Deformable Linear Objects (DLOs) is a challenging task due to their complex and ambiguous appearance, lack of discernible features, typically small sizes, and deformability. Despite these challenges, achieving a robust and effective segmentation of DLOs is crucial to introduce robots into environments where they are currently unde...

Earlier, an approximation technique was presented for solving strong nonlinear oscillator equations. Due to arising algebraic complexities, the method fails to determine suitable solutions of some nonlinear oscillators such as quadratic oscillators, the cubical Duffing oscillator of softening springs, and pendulum equations. Then, rearranging an al...

For several years, the European Commission has been investing in transnational mobility projects, namely Erasmus+, for the continuing professional development of teaching and non-teaching staff of schools for the sole purpose of improving the quality of education, as well as to establish networks of communications where teachers and schools can sha...

This study addresses the critical need for an accurate aspect-based sentiment-analysis (ABSA) model to understand sentiments effectively. The existing ABSA models often face challenges in accurately extracting aspects and determining sentiment polarity from textual data. Therefore, we propose a novel approach leveraging latent-Dirichlet-allocation...

In the six years from 2010 to 2015, the peak load in the East Java region increased by an average of 284MW per year. Karangkates Substation is part of an interconnected electrical system that supplies Java Island. To ensure a high level of reliability in its service, it is necessary to prepare for load growth to make sure that it does not exceed it...

In this paper, an extended transmission line theory is derived and utilized in order to generate simple broadband models for ferrite transmission line transformers in the kilo- and megahertz range. Using the extended description of a transmission line leads to a compact element which can easily be inserted into the circuit of a device. The resultin...

Ball screw is widely used in the engineering field, and accurate estimation of their state is crucial for the reliability of system operation. However, existing methods often overlook the time series characteristics and spatial correlation of vibration signals, unable to provide complete degradation information and divide the degradation process, r...

Immersive technologies like Virtual Reality (VR) and Augmented Reality (AR) are transforming the landscape of surgical training. These tools offer risk-free environments where surgeons can hone their skills, significantly enhancing training quality. This article explores the benefits, applications, and future potential of VR and AR in surgical educ...

Reading literacy has been a challenge in the Philippines based on recent large-scale literacy assessment in two consecutive years. This may be a result of a mismatch between reading instruction and the interest and motivation of students as 21st century learners in improving their reading skills. However, it is early to instigate such assumption. H...

Wave packets are a mathematical tool used in signal processing and data analysis, extending the concept of wavelets by offering a more flexible decomposition of signals. The main goal of this paper is to construct the wave packet transformation in terms of quadratic-phase Hankel transformation and discuss some of its basic properties. An inversion...

Accurate prediction of dissolved gas concentration is vital for status assessment and fault diagnosis in oil-immersed transformers. Most current methods for predicting dissolved gas concentration produce deterministic results without providing any information on prediction uncertainty. This study presents for the first time a prediction model based...

The study of matrimonial negotiations previously characterised by the perception of the Crown Princes as mere objects of negotiation in diplomatic affairs, reveals a different perspective in the light of the Anglo-Aragonese marriage project of 1268-1285. Peter of Aragon and his son Alfonso were indeed central players in these negotiations. The arti...

This study investigates t\he impact of the Instagram social media platform, specifically the account @jampoundbic, on the public's interest in exercise, particularly Poundfit. In today's digital age, social media plays a crucial role in transforming how people communicate and interact. The primary issue addressed is how social media can motivate in...

In the study of uncertainty, concepts such as fuzzy sets [113], fuzzy graphs [79], and neutrosophic sets [88] have been extensively investigated. This paper focuses on a novel logical framework known as Upside-Down Logic, which systematically transforms truths into falsehoods and vice versa by altering contexts, meanings, or perspectives. The conce...

The rapid integration of Generative Artificial Intelligence (GenAI) into Software Engineering (SE) transforms how software is designed, developed, and maintained, introducing significant managerial challenges. This study examines these emerging challenges and proposes strategic actions for managing SE in the future. We provide an overview of the cu...

span lang="EN-US">The pervasive availability of vast online information has fundamentally altered our approach to acquiring knowledge. Nevertheless, this wealth of data has also presented significant challenges to academic integrity, notably in the realm of cross-lingual plagiarism. This type of plagiarism involves the unauthorized copying, transla...

Gases can form within the insulation system for various reasons while a transformer is in operation. If these gases are not promptly and properly managed, they can negatively impact the transformer's performance. Using the dissolved gas analysis (DGA) method to identify and assess the type and quantity of dissolved gases in transformer oil can unco...

The emergence of adversarial examples poses a significant challenge to hyperspectral image (HSI) classification, as they can attack deep neural network-based models. Recent adversarial defense research tends to establish global connections of spatial pixels to resist adversarial attacks. However, it cannot yield satisfactory results when only spati...

Image captioning is a question of great interest in a wide range of applications. In the art market there is a particularly acute shortage of specialized machine learning methods for accelerated and at the same time in-depth study of often too specific aspects of art. One of the main difficulties is caused by ambiguous names of art works, as well a...

In this study, we analyze a symmetrical anharmonic oscillator that differs from a basic harmonic oscillator by including additional terms in the potential energy function. This oscillator’s nonlinear characteristics are important in many physics fields, allowing for modeling of complex systems. We begin by creating the Lagrangian and obtaining the...

Confidence and motivation are central to human achievement, yet traditional psychological models often lack a comprehensive framework for understanding their dynamic interaction in the pursuit of complex, long-term goals. This paper introduces a unified motivational framework (UMF) that integrates incremental confidence-building steps, adaptive res...

Biblical didactics is an important element of confessional religious education. In traditional settings, it is primarily associated with working with the text, alone or in groups, in plenary discussion or pantomime. Nowadays, however, young people are increasingly acquiring their knowledge — including about the Bible — on the Internet, using new te...

A direct data-driven approach for computing the robust positively invariant sets of a discrete-time system is presented in this study. By transforming the invariance conditions into a set of tractable linear matrix inequality problems and combining them with a semidefinite programming problem, we maximize the volume of invariant sets without violat...

The parameters of a statistical model can sometimes be difficult to interpret substantively, especially when that model includes nonlinear components, interactions, or transformations. Analysts who fit such complex models often seek to transform raw parameter estimates into quantities that are easier for domain experts and stakeholders to understan...

Pyridazine derivatives hold significant interest due to their broad applications in pharmaceuticals and materials science, where they serve as valuable scaffolds for bioactive compounds and functional materials. Here, we report a formal [4 + 2] reaction for the synthesis of 5’-sulfonyl-4’-aryl-3-cyano substituted pyridazine compounds from the react...

Building on Bensoussan's minimum principle criterion , we propose a numerical method for solving a class of partially observable optimal control problems. This method employs spatial approximation and quasi-linearization: the former transforms the original forward-backward stochastic partial differential equations in the criterion into ordinary dif...

The paper explores the role of language play in postmodern literature through a close examination of Lydia Davis' stories. Known for her minimalist style, Davis employs innovative narrative techniques and distinctive word choices to disrupt conventional storytelling and invite readers into a complex interaction with language. The analysis highlight...

Earth's atmosphere is made up of air. The mass of one cubic meter of air (1m3) is about 1.25 Kg at sea level. Air does not conduct heat. Through heating from the sun, due to temperature differences, the movement of air masses, respectively the wind, occurs. At high travel speeds, the force of the wind can achieve destructive or even devastating eff...

As a key equipment of the reactor coolant system, the reactor coolant pump’s operational state can have a direct impact on the coolant circulation. However, the harsh working environment can accelerate the process of equipment deterioration for the reactor coolant pump while the current alarm mechanism cannot detect the deterioration of equipment p...

In recent years, user travel has generated massive mobile data. Recommending the next location of interest not only greatly facilitates user travel, but also provides a corresponding opportunity for merchants to mine potential customers. In view of the fact that the existing urban location POI recommendation does not integrate multiple context info...

The goal of fusing multi-focus images is to obtain one image that has all the significant features from each input. The fusion process is needed because of the limitations of the optical lens depth of field that is used to capture images, so images of various focused regions are produced. In this paper, a multi-focus image fusion algorithm is propo...

Among the many problems highlighted by the recent Covid-19 pandemic is the inadequacy of many homes to accommodate people during a health emergency. During the various lockdowns, flats that needed to be bigger, more distributed or more modern did not help to organise one's time or daily activities (studying, working, exercising, or simply secluding...

Over the past decade, artificial intelligence has revolutionized how businesses approach financial management and decision-making. From algorithmic trading to automated risk assessment and predictive analytics, AI technologies are transforming traditional financial operations into data-driven powerhouses. Major corporations are increasingly integra...

Multi-agent trajectory prediction is crucial to autonomous driving and understanding the surrounding environment. Learning-based approaches for multi-agent trajectory prediction, such as primarily relying on graph neural networks, graph transformers, and hypergraph neural networks, have demonstrated outstanding performance on real-world datasets in...

In recent times, generative AI has cropped up with many potential areas where its implementation can promise great efficiency. Above all, there is the Transformer model for which a detailed report is required for elaboration on principles, advantages, and disadvantages. To begin with, in this paper, the basic structure and function of the Transform...

Social selling is a critical strategy for sales professionals, particularly in the digital era where networking and business connections are increasingly made online. LinkedIn, as the premier social networking platform for professionals, provides a unique environment for businesses to cultivate relationships, share insights, and ultimately drive sa...

This study focuses on the novel conformable methods employed to obtain new numerical solutions for the Cahn-Allen equation with conformable fractional derivatives. One of the two distinct methods put forth is the Cq-HATM, a hybrid technique that integrates the q-homotopy analysis transform method with the Laplace transform, utilizing the definition...