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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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Minimizing cache usage with fixed-priority and earliest deadline first scheduling
Cache partitioning is a technique to reduce interference among tasks running on the processors with shared caches. To make this technique effective,...
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Promising directions of machine learning for partial differential equations
Partial differential equations (PDEs) are among the most universal and parsimonious descriptions of natural physical laws, capturing a rich variety...
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CFAR detection using two scale invariant functions in heterogeneous Weibull clutter
In this paper, we considered the constant false alarm rate (CFAR) detector in presence of Swerling 1 interfering targets surrounded in Weibull...
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MTV-SCA: multi-trial vector-based sine cosine algorithm
The sine cosine algorithm (SCA) is a metaheuristic algorithm that employs the characteristics of sine and cosine trigonometric functions. SCA’s...
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Resource allocation for UAV-enabled multi-access edge computing
In Ultrareliable and Low Latency Communications (URLLC), balancing trade-offs between energy consumption, service availability, and strict...
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Deep learning for ultrasound medical images: artificial life variant
Segmentation of tumors in the ultrasound (US) images of the breast is a critical problem in medical imaging. Due to the poor quality of the US images...
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Knowledge Graph-Aware Deep Interest Extraction Network on Sequential Recommendation
Sequential recommendation is the mainstream approach in the field of click-through-rate (CTR) prediction for modeling users’ behavior. This behavior...
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Lightweight wildfire smoke monitoring algorithm based on unmanned aerial vehicle vision
Forest fires have a serious impact on people’s living environment. Currently, drones enable rapid detection of forest fires. Due to the limited...
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An optimal feature selection method for text classification through redundancy and synergy analysis
Feature selection is an essential step in text classification tasks to enhance model performance, reduce computational complexity, and mitigate the...
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Multi-granularity hypergraph-guided transformer learning framework for visual classification
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships....
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Analyzing psychological information using lattice hydrodynamic model coupled with electronic throttle control
Electronic throttle control (ETC), a mechanism for precise regulation of engine power and torque production, is a typical component in modern...
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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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Enhancing functional thinking in grade 5–6 students through a dynamic mathematics intervention program
The aim of this study was to develop, implement, and evaluate an intervention program focusing on develo** Grade 5 and 6 students’ functional...
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TransFGVC: transformer-based fine-grained visual classification
Fine-grained visual classification (FGVC) aims to identify subcategories of objects within the same superclass. This task is challenging owing to...
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Establishing the connection between speech-language pathologists and technology developers in designing novel textile-based AAC (TAAC) technologies
Augmentative and alternative communication (AAC) methods aim to enable a variety of interactions and participation for those with complex...
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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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A deep learning-based early alzheimer’s disease detection using magnetic resonance images
Alzheimer’s Disease (AD) is a degenerative, chronic condition of the brain for which there is now no effective treatment. However, there are...
