
Surjeet DalalAmity University | AU · Department of Computer Science and Engineering
Surjeet Dalal
Doctor of Philosophy
About
128
Publications
28,653
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,451
Citations
Introduction
Artificial Intelligence, Cloud Computing, Edge Computing & Edge AI
Skills and Expertise
Additional affiliations
November 2021 - present
November 2021 - present
November 2021 - present
Education
August 2010 - July 2014
Publications
Publications (128)
As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. The traditional perimeter-based security models are inadequate for addressing the dynamic and distributed nature of fog networks, leaving them vulne...
Research curiosity enlarging the concern of clinician and researchers towards combination of medical science together with artificial intelligence to develop cost effective predictive model for asthma exacerbation. To accumulate the classification consequences, extensively known ensemble machine learning methods pivotal to artificial intelligence t...
In smart grid management, precise stability prediction is a complicated task that adds to the effective allocation of resources with grid stability. Specifically, demand-side management is considered an essential element of the overall Smart Grids system. Hence, predicting future energy demands is crucial to regulating consumption by aligning utili...
Purpose. This study aims to evaluate the effectiveness of using ChatGPT for a practically important but under-researched task in the scientific literature: the preliminary search and identification of potential business partners or counterparties. Design/Methodology/Approach. An experiment was conducted where ChatGPT was tasked with suggesting ten...
The rapid advancement of quantum technology has spurred rivalry between academics and corporations to produce quantum technologies. Quantum computers and annealers can now manage several qubits, according to a recent research. Quantum computing is increasing rapidly and attracting interest. Many are researching and writing about it. Quantum computi...
Industry 4.0 requires water hardness forecast optimization for efficiency and problem-free operations. Common prediction method linear regression can be improved by feature selection approaches like Recursive Feature Elimination. This abstract optimizes linear regression for Industry 4.0 water hardness prediction utilizing RFE for feature selection...
"Industrial quantum computing" (IQC) covers the applications of quantum computing innovations in general industry and industry 4.0. This book presents the application of quantum computations to the financial sector, medical services, the logistics industry, and the manufacturing industry.
Climate change has become a major source of concern to the global community. The steady pollution of the environment including our waters is gradually increasing the effects of climate change. The disposal of plastics in the seas alters aquatic life. Marine plastic pollution poses a grave danger to the marine environment and the long-term health of...
Purpose
This study aims to evaluate the effectiveness of using ChatGPT for a practically important but under-researched task in the scientific literature: the preliminary search and identification of potential business partners or counterparties.
Design/Methodology/Approach
An experiment was conducted where ChatGPT was tasked with suggesting ten d...
Background
Internet of Things (IoT) technology in smart urban homes has revolutionised sophisticated monitoring. This progress uses interconnected devices and systems to improve security, resource management, and resident safety. Smart cities use technology to improve efficiency, sustainability, and quality. Internet of Things-enabled intelligent m...
As healthcare systems increasingly adopts fog computing to improve responsiveness and data processing at the edge, security challenges associated with decentralized architectures become more pronounced. The traditional security models, reliant on defined perimeters, are ill-suited for the dynamic and open nature of fog environments, where sensitive...
Supply chain management is changing rapidly due to increasing complexity, uncertain demand, and the requirement for sustainable methods. Advanced technologies like Bidirectional Long Short-Term Memory networks (BiLSTM) and Convolutional Neural Networks can enhance supply chain processes. This paper propose integration of convolutional neural networ...
Anomalies and defects in the manufacturing process hinder operating efficiency and product quality. The Whale Optimization Algorithm (WOA) optimizes the XGBoost model for better anomaly identification by iteratively refining hyperparameters. Experiments using real-world manufacturing datasets prove proposed model works. Comparing the proposed model...
Millions of people across the world suffer from the chronic respiratory condition known as asthma. Predicting the severity of asthma based on a variety of personal and environmental characteristics might yield useful information for preventative measures. LightGBM model is a gradient-boosted model with the potential for great accuracy, but it requi...
This Research work addresses the pressing need within cloud computing for a trust-based service mechanism that effectively manages the burgeoning volume and variety of data while mitigating privacy concerns. The primary aim is to address pressing security challenges within cloud networks through a novel approach tailored to enhance privacy preserva...
Cloud computing is an emerging technology composed of several key components that work together to create a seamless network of interconnected devices. These interconnected devices, such as sensors, routers, smartphones, and smart appliances, are the foundation of the Internet of Everything (IoE). Huge volumes of data generated by IoE devices are p...
In the past, a robotic arm needed to be taught to carry out certain tasks, such as selecting a single object type from a fixed location and orientation. Neural networks have autonomous abilities that are being deployed to aid the development of robots and also improve their navigation accuracy. Maximizing the potentials of neural network as shown i...
Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutting-edge model called ProtICNN-BiLSTM, which combines attention-based Improved Convolutional Neural Networks (ICNN) and Bidirectional Long Sho...
Protein sequence classi cation needs to be performed quickly and accurately to progress bioinformatics advancements and the production of pharmaceutical products. Extensive comparisons between large databases of known proteins and unknown sequences are necessary in traditional protein classi cation methods, which can be time-consuming. This labour-...
Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven networks, combined with Mobile Edge Computing (MEC), provide practical options for transmitting IoT-enabled data. This research introduces a hybri...
The thyroid gland, a pivotal regulator of essential physiological functions, orchestrates the production and release of thyroid hormones, playing a vital role in metabolism, growth, development, and overall bodily functions. While thyroid nodules are predominantly benign, certain cases may manifest malignancy, leading to thyroid cancer. Despite the...
In smart grid management, precise stability prediction is a complicated task that adds to the effective allocation of resources with grid stability. Specifically, demand-side management is considered an essential element of the overall Smart Grids system. Hence, predicting future energy demands is crucial to regulating consumption by aligning utili...
Introduction
Cardiovascular disease (CVD) stands as a pervasive catalyst for illness and mortality on a global scale, underscoring the imperative for sophisticated prediction methodologies within the ambit of healthcare data analysis. The vast volume of medical data available necessitates effective data mining techniques to extract valuable insight...
The use of closed-circuit television (CCTV) systems is widespread in all areas where serious safety concerns exist. Keeping an eye on things manually sounds like a time-consuming and challenging process. Identifying theft, detecting aggression, detecting explosive risks, etc ., are all circumstances in which the term “security” takes on multiple me...
Electricity load prediction plays a vital role in energy management. The necessity of combining scattered sustainable energy power generation channels and other substitute resource action plans into distribution grid networks is rising due to the 4.1% rise in world electricity in 2021. The utilisation of probability power generators and energy stor...
In smart cities, air pollution is a critical issue that affects individual health and harms the environment. The air pollution prediction can supply important information to all relevant parties to take appropriate initiatives. Air quality prediction is a hot area of research. The existing research encounters several challenges that is, poor accura...
Forecasting is involved in the estimation of statements about particular events concerned those are uncertain events or computation of future. The ultimate purpose ofthe forecasting model is to acquire knowledge about uncertain events. Medical tourism is an emerging economy in several countries with incipient of apatient from one country to diverse...
In the domain of Earth Observation (EO) communication, the existing cloud system faces significant challenges, including latency in data transmission, insufficient bandwidth, and concerns over data security and privacy. These issues are compounded by the need for consistent service availability and reliability, highlighting a need for a more adapti...
VANET technology is an essential component of Intelligent Transportation Systems, which makes c communication between moving cars and stationary Road Side Units more accessible. It allows vehicle nodes to share crucial data among communication devices. VANET has significant potential to enhance traffic efficiency and road safety. This is accomplish...
Reliable communication is essential in the Internet of Vehicles (IoV) framework, where the efficient transmission of important information is required to ensure vehicle safety and smart traffic control. This investigation centers on the issue of developing trustworthy connectivity in the IoV components through implementing a robust infrastructure f...
Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and results in severe depression and suicide attempts in the social community. Prompt actions are crucial in tackling PPDD, which requires a quick recognition and accurate analysis of the probability factors associated with this condition. This concern requires attention....
Smart, secure, and environmentally friendly smart cities are all the rage in urban planning. Several technologies, including the Internet of Things (IoT) and edge computing, are used to develop smart cities. Early and accurate fire detection in a Smart city is always desirable and motivates the research community to create a more efficient model. D...
A major psychological problem that numerous new mothers experience is postpartum depression (PPD). A woman's capacity to care for herself and her child may be hampered by the sadness, anxiety, and weariness it can bring on. Using information from their past medical treatment, lifestyles, and habits, deep learning can assist in identifying women who...
Mineral extraction and use are vital to the world economy and industrial and energy
industries. Environmental implications and the limited nature of many mineral
resources have made mineral extraction sustainability a major issue. Deep learning
and FinTech have provided creative answers to these problems in recent years. This
presentation discusses...
Customers today expect businesses to cater to their individual needs by tailoring the products they purchase to their own preferences. The term “Industry 5.0” refers to a new wave of manufacturing that aims to meet each customer's unique demands. Even while Industry 4.0 allowed for mass customization, that wasn't good enough before, customers today...
Billions of gadgets are already online, making the IoT an essential aspect of daily life. However, the interconnected nature of IoT devices also leaves them open to cyber threats. The quantity and sophistication of cyber assaults aimed against Internet of Things (IoT) systems have skyrocketed in recent years. This paper proposes a next-generation c...
p class="MDPI17abstract">The Internet of Medical Things (IoMT) industry has grown lightning during the estimated time frame. Privacy and security are essential concerns given the scale and widespread use of IoMT networks. Blending healthcare data in one place storage device to prepare an effective predictive model, on the other hand, increases more...
Waste collection, classification, and planning have become crucial as industrialization and smart city advancement activities have increased. A recycling process of waste relies on the ability to retrieve the characteristics as it was in their natural position, and it reduces pollution and helps in a sustainable environment. Recently, deep learning...
Industrial automation systems are undergoing a revolutionary change with the use of Internet-connected operating equipment and the adoption of cutting-edge advanced technology such as AI, IoT, cloud computing, and deep learning within business organizations. These innovative and additional solutions are facilitating Industry 4.0. However, the emerg...
Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. This research presents an efficient tumor detection and segmentation technique using an adaptive moving self-organizing...
The patients’ vocal Parkinson’s disease (PD) changes could be identified early on, allowing for management before physically incapacitating symptoms appear. In this work, static as well as dynamic speech characteristics that are relevant to PD identification are examined. Speech changes or communication issues are among the challenges that Parkinso...
Introduction:
Millions of people have been infected with COVID-19, which has spread quickly worldwide since the start of 2020, resulting in numerous fatalities. Identification of infected individuals is essential to control the spread of the virus.
Aim:
In this study, we propose a hybrid architecture that combines Convolutional Neural Networks (...
Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually, approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in earlier stages helps to save lives. In the HCV review, the authors used a single ML-based prediction model in the current research, which encounters several issues, i.e., poor ac...
Breast cancer is one of the leading causes of untimely deaths among women in many countries. This can be attributed to many factors including late detection which often increase its severity. Thus, detecting the disease early would help mitigate its mortality rate and other risks associated with it. This study developed a hybrid machine learning mo...
Integrating physical, computational, and networking resources are the goal of cyber‐physical systems, also known as smart‐embedded systems. By investing in a solid foundation, we can improve the usefulness and timeliness of the services we rely on in every facet of our lives and ultimately live more elegantly. Regarding modern technology, data secu...