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Efficient iterative procedures for approximating fixed points of contractive-type map**s with applications
This paper introduces and analyzes some new highly efficient iterative procedures for approximating fixed points of contractive-type map**s. The...
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Introducing the Cosine Clustering Index (CCI): A Balanced Approach to Evaluating Deep Clustering
Amidst the surge of Big Data, deep clustering emerges as a pivotal technique in machine learning, necessitating robust and interpretable evaluation...
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Convergence rate and exponential stability of backward Euler method for neutral stochastic delay differential equations under generalized monotonicity conditions
This work focuses on the numerical approximations of neutral stochastic delay differential equations with their drift and diffusion coefficients...
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A Novel Approach for Forecasting Price of Stock Market using Machine Learning Techniques
In today’s competitive business world, industries strive for rapid growth and leadership. Expanding a business requires additional capital, which can...
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Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study
Pedestrian Attribute Recognition (PAR) poses a significant challenge in develo** automatic systems that enhance visual surveillance and human...
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Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Traffic Sign Recognition
Since the advent of automobiles and driver assistance technologies, traffic sign recognition has been of the utmost importance for Industry 4.0. In...
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Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers
Artificial intelligence technology is widely used in the field of wireless sensor networks (WSN). Due to its inexplicability, the interference...
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Lean Office Approach for Continuous Improvement Identification in the Admission Process of University Students
Smart campuses introduce teaching technologies in modern higher education, employing Information and Communication Technologies, sensor networks,...
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Optimizing Crowd Counting in Dense Environments Through Curriculum Learning Training Strategy
Counting individuals in highly crowded environments, characterized by thousands of people, has garnered significant attention in recent years, due to...
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RLCA-Robust Lightweight Cryptographic Paradigm for Secure Data Transfer Between IoT Devices
IoT has grown in popularity and acceptance as a result of its numerous uses across different industries. They gather information from the live...
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An Integrated Approach of Efficient Edge Task Offloading Using Deep RL, Attention and MDS Techniques
In Distributed Computation Optimization (DCO) networks, where clients distribute computational jobs among heterogeneous helpers with different...
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HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection
With the rapid development of network technology and the automation process for 5G, cyber-attacks have become increasingly complex and threatening....
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Learning in games: a systematic review
Game theory studies the mathematical models for self-interested individuals. Nash equilibrium is arguably the most central solution in game theory....
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Channel modeling for MI-based wireless underground sensor networks with conductive objects
We develop a comprehensive and accurate channel model forMI-WUSNs by taking into account the impact of multiple conductive objects located in...
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Prescribed time control based on the periodic delayed sliding mode surface without singularities
In this paper, nonsingular prescribed-time control is studied based on periodic delayed sliding mode surfaces. Different from the existing sliding...
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Distributed generalized Nash equilibrium seeking: event-triggered coding-decoding-based secure communication
In this paper, we consider the distributed generalized Nash equilibrium (GNE) seeking problem in strongly monotone games. The transmission among...
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Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution
Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated...
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Design and research of heat dissipation system of electric vehicle lithium-ion battery pack based on artificial intelligence optimization algorithm
This research focuses on the design of heat dissipation system for lithium-ion battery packs of electric vehicles, and adopts artificial intelligence...
