High-Speed Indoor Navigation System based on Visible Light and Mobile Phone by Junbin Fang, Zhen Yang, Shun Long, Zhuoqi Wu, Xiaomeng Zhao, Funian Liang, Zoe Lin Jiang, Zhe Chen

“…However, due to the high computational cost of image processing, most existing VLC-based systems fail to deliver satisfactory performance in terms of positioning speed and accuracy, both of which are crucial for the performance of indoor navigation. …”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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ArabSis: Arabic Corpus Sentiment Analysis by Ziad Doughan, Sari Itani, Samir Itani

“…Despite rapid progress in natural language processing (NLP), the development of specialized resources for niche domains—critical for specialized applications like affective computing and emotionally intelligent AI—remains a persistent challenge. …”
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End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoT by Matthew Boeding, Michael Hempel, Hamid Sharif

“…Initially, protocol specifications are modeled to identify any vulnerable states within the protocol, leveraging the Construction and Analysis of Distributed Processes (CADP) software (version 2022-d “Kista”, which was created by Inria, the French Institute for Research in Computer Science and Automation, in France). …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling by Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew BrightSky, Sangbum Kim

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Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine by Shahzad Ahmad Qureshi, Lal Hussain, Haya Mesfer Alshahrani, Syed Rahat Abbas, Mohamed K Nour, Nayabb Fatima, Muhammad Imran Khalid, Huniya Sohail, Abdullah Mohamed, Anwer Mustafa Hilal

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Development of Information System Optimization Methods Based on Wavelet Canonical Expansions and Wavelet Neural Network Technologies by Igor Sinitsyn, Vladimir Sinitsyn, Eduard Korepanov, Tatyana Konashenkova

“…Canonical expansion (CE) of stochastic processes (StP) are widely used in applied mathematics, informatics and control. …”
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Machine vision-based automatic fruit quality detection and grading by Amna, Muhammad Waqar AKRAM, Guiqiang LI, Muhammad Zuhaib AKRAM, Muhammad FAHEEM, Muhammad Mubashar OMAR, Muhammad Ghulman HASSAN

“…In addition, the system was evaluated experimentally in terms of detection accuracy, sorting accuracy and computational time. For the image processing algorithms scheme, the detection accuracy for mango and tomato was 89% and 92%, respectively, and for CNN architecture used, the validation accuracy for mangoes and tomatoes was 95% and 94%, respectively.…”
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Multiclass Evaluation of Vision Transformers for Industrial Welding Defect Detection by Antonio Contreras Ortiz, Ricardo Rioda Santiago, Daniel E. Hernandez, Miguel Lopez-Montiel

“…While welding tasks are frequently automated, inspection processes remain largely manual. Advances in computer vision and AI, especially ViTs, now enable more effective defect detection and classification, offering opportunities to automate these workflows. …”
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Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions by Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Mouncef Filali Bouami, Ibrahim Ouahbi, Ahmed A. Abd El-Latif, May Almousa, Joel J. P. C. Rodrigues

“…We begin by defining HBA, tracing its historical roots, and outlining core concepts such as behavioral patterns, cognitive processes, and emotional states. The survey then explores traditional and modern techniques, from manual observation to AI-driven methods such as deep learning, natural language processing, and computer vision. …”
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Development Prospects of Education System in Russia by E. A. Yarnykh, L. A. Davletshina, G. V. Agentova

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A New Efficient Approach to Model Stiff Biogeochemical Reactive Transport Scenarios Across Groundwater Systems by Xiaochuang Bu, Heng Dai, Songhu Yuan, Ming Ye, Zhenxue Dai, Mohamad Reza Soltanian, Zhang Wen, Alberto Guadagnini

“…The inherent stiffness of these models, within which bio‐geochemical reactions and transport processes take place simultaneously across diverse time scales, poses significant computational challenges. …”
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Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data by Bilal Khan, Muhammad Usman, Inayat Khan, Jawad Khan, Dildar Hussain, Yeong Hyeon Gu

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Interferometric Surface Analysis of a Phase-Only Spatial Light Modulator for Surface Deformation Compensation by Rania M. Abdelazeem, Mostafa Agour, Salah Hassab Elnaby

“…The filtered interferogram enabled accurate phase extraction through Fourier transform processing and side peak selection using a spatial carrier frequency method. …”
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Signatures of Perseveration and Heuristic-Based Directed Exploration in Two-Step Sequential Decision Task Behaviour by Angela Mariele Brands, David Mathar, Jan Peters

“…Processes formalized in classic Reinforcement Learning (RL) theory, such as model-based (MB) control, habit formation, and exploration have proven fertile in cognitive and computational neuroscience, as well as computational psychiatry. …”
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An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms by Jie Sun, Tianwen Xu, Yao Yao

“…Emotion recognition plays a crucial role in understanding decision-making processes, as emotional stimuli significantly influence individuals' choices. …”
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Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models by Hirokazu Madokoro, Stephanie Nix

“…The performance evaluations on Graphics Processing Unit (GPU) and Single-Board Computer (SBC) platforms highlight a viable path toward edge deployment. …”
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Enhancing mixing efficiency in multi-impeller tanks through innovative CFD and artificial neural network approaches by Reza Beigzadeh, Saber Soltanian, Yousef Azizpour

“…This study introduces an innovative model for simulating fluid flow in multi-impeller tanks using Computational Fluid Dynamics (CFD) and Artificial Neural Networks (ANN). …”
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Radioligands Targeting the Purinergic P2X Receptors by Diego Dal Ben, Michela Buccioni, Catia Lambertucci, Beatrice Francucci, Aleksei Smirnov, Andrea Spinaci, Gabriella Marucci, Rosaria Volpini

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