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Articles by Roy PP
Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems
Accurate estimated time of arrival (ETA) predictions are central to modern logistics, mobility services, and on-demand commerce. From dock scheduling and driver dispatch to inventory staging and customer notifications, ETA forecasts shape critical operational decisions across last-mile delivery, freight networks, and ride-hailing platforms.
Facial expression recognition using visible and IR by early fusion of deep learning with attention mechanism
Emotions, as neurophysiological changes, play a key role in human decision-making and social interaction. Research indicates that only 45% of communication is verbal, while 55% is conveyed through facial expressions (Sun, Ge & Zhong, 2021). The brain processes only key information in external data. Likewise, recognition models like CNNs should focus on essential features to enhance accuracy.
Intelligent real-life key-pixel image detection system for early Arabic sign language learners
The hard-of-hearing population is growing from four hundred million to approximately five hundred million people in 2022 and has increased considerable attention to developing a hard-of-hearing communication solution (Abdullahi & Chamnongthai, 2022a). The hard-of-hearing population has only sign language as their mean of communication such as Arabic sign language, American sign language, Greek sign language, and Hausa sign language, etc.
Emotion detection from handwriting and drawing samples using an attention-based transformer model
Emotion detection from handwriting and drawing samples using an attention-based transformer model 1School of Automation, Beijing Institute of Technology, Beijing, China 2Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia 3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 4School of Computer Science and Engineering, Central South University, Hunan, China 5Department of Computer...
Algorithm design of a combinatorial mathematical model for computer random signals
When the passive intelligent surveillance radar system is under consideration, the main purpose of the receiver is to analyze the modulation type of the radiated source signal, and correctly distinguish the linear frequency of the modulation signal as much as possible by employing other functional forms such as the cubic phase signal, or other high-order pulse modulation signals (Edla et al., 2018).
A comprehensive exploration of machine learning techniques for EEG-based anxiety detection
Anxiety is a common mental health condition that can significantly impact individuals’ abilities, behavior, productivity, and quality of life. It can manifest in various forms, such as generalized anxiety disorder, social anxiety disorder, panic disorder, and specific phobias, and can lead to severe emotional distress, physical symptoms, and impaired daily functioning.
Design of intelligent financial data management system based on higher-order hybrid clustering algorithm
Design of intelligent financial data management system based on higher-order hybrid clustering algorithm 1School of Management, Wuhan Technology And Business University, Wuhan, China 2Department of Accounting, Henan Institute of Economics and Trade, Zhengzhou, China DOI 10.7717/peerj-cs.1799 Academic Editor Muhammad Asif Subject Areas Algorithms and Analysis of Algorithms, Artificial Intelligence, Data Mining and Machine Learning Keywords CNN, VAE, Attention mechanism, Deep clustering,...
A deep learning based approach for extracting Arabic handwriting: applied calligraphy and old cursive
A deep learning based approach for extracting Arabic handwriting: applied calligraphy and old cursive 1Research Unite Cerist, Université Constantine, Constantine, Algeria 2School of Computer Science, SCS, Taylor’s University, Subang Jaya, Malaysia 3Department of Computer Science and Information Technology, Taylor’s University, Kuala Lumpur, Malaysia 4Department of Computer Science, The University of Sharjah, The Sharjah, UAE DOI 10.7717/peerj-cs.1465 Academic Editor Wenbing Zhao Subject Areas...
Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
Human decision-making is a crucial cognitive function. Various models have been developed over time to aid decision-making and problem-solving. For example, multi-person multi-criteria decision-making models consider the opinions of numerous specialists to conclude a scenario by assessing each potential solution based on several criteria (Yager, 1993).
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model
Introduction Recent applications in business intelligence have considerably profited from access to beneficiaries’ online communication via various platforms (e.g., social networks, forums, e-commerce sites, etc.). Those users’ views and opinions about numerous coarse or fine-grained services/products have impacted the design of such applications. Automatically analyzing this huge web of unstructured opinion data has been a practical research focus in recent years.
Comparing resting state and task-based EEG using machine learning to predict vulnerability to depression in a non-clinical population
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