Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems by Sultan Refa Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, Faiz Abdullah Alotaibi, Abdulwhab Alkharashi, Ahmad A. Alzahrani, Moneerah Alotaibi, Mrim M. Alnfiai

“…Crowd Density Detection in Smart Video Surveillance involves advanced computer vision (CV) techniques to improve the efficiency and accuracy of crowd monitoring. …”
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Testing the lepton content of the proton at HERA and EIC by Leandro Da Rold, Anibal D. Medina, Subhojit Roy, Carlos E. M. Wagner

“…These PDFs have been recently computed and can be used to define lepton-induced processes at high-energy colliders. …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

“…The application potential of unmanned aerial vehicles (UAVs) in marine search and rescue is especially of concern for the ongoing advancement of visual recognition technology and image processing technology. Limited computing resources, insufficient pixel representation for small objects in high-altitude images, and challenging visibility conditions hinder UAVs’ target recognition performance in maritime search and rescue operations, highlighting the need for further optimization and enhancement. …”
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Advanced Design for High-Performance and AI Chips by Ying Cao, Yuejiao Chen, Xi Fan, Hong Fu, Bingang Xu

“…The design tactics for the enhanced and AI chips can be conducted from a diversity of aspects, with materials, circuit, architecture, and packaging technique taken into considerations, for the pursuit of multimodal data processing abilities, robust reconfigurability, high energy efficiency, and enhanced computing power. …”
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DeepMiRBP: a hybrid model for predicting microRNA-protein interactions based on transfer learning and cosine similarity by Sasan Azizian, Juan Cui

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Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis by Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

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Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling by Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya

“…This review revealed that AI-driven weed mapping in robots and UAVs struggles with data (quality, diversity, bias) and technical (computation, deployment, cost) barriers. Improved data (collection, processing, synthesis, bias mitigation) and efficient, affordable technology (edge/hybrid computing, lightweight algorithms, centralized computing resources, energy-efficient hardware) are required to improve AI-driven weed mapping adoption. …”
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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study by Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

“… Abstract BackgroundPopularized by ChatGPT, large language models (LLMs) are poised to transform the scalability of clinical natural language processing (NLP) downstream tasks such as medical question answering (MQA) and automated data extraction from clinical narrative reports. …”
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Strong Convergence Theorems of Modified Ishikawa Iterative Method for an Infinite Family of Strict Pseudocontractions in Banach Spaces by Phayap Katchang, Wiyada Kumam, Usa Humphries, Poom Kumam

“…We introduce a new modified Ishikawa iterative process and a new W-mapping for computing fixed points of an infinite family of strict pseudocontractions mapping in the framework of q-uniformly smooth Banach spaces. …”
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2D materials-based 3D integration for neuromorphic hardware by Seung Ju Kim, Hyeon-Ji Lee, Chul-Ho Lee, Ho Won Jang

“…Abstract Neuromorphic hardware enables energy-efficient computing, which is essential for a sustainable system. …”
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A Wavelet-Based Multiresolution Reconstruction Method for Fluorescent Molecular Tomography by Wei Zou, Jiajun Wang, Kongpei Wu, David Dagan Feng

“…Simulation results demonstrate that the proposed approach can significantly speed up the reconstruction process and improve the image quality of FMT.…”
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A Hybrid Approach of Bundle and Benders Applied Large Mixed Linear Integer Problem by Placido Rogerio Pinheiro, Paulo Roberto Oliveira

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An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors by Xiyu Liu, Yuzhen Zhao, Minghe Sun

“…The results give some hints to improve conventional algorithms by using membrane computing models.…”
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Transverse momentum distributions at large-x by Oscar del Rio, Alexei Prokudin, Ignazio Scimemi, Alexey Vladimirov

“…Abstract We investigate the collinear matching of transverse momentum dependent (TMD) distributions at large values of x, computing and resumming the leading large-x asymptotics for matching coefficients. …”
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IT Governance Assessment at City Revenue Agency Using COBIT 5 Framework by Muhammad Faresa Adhari, Johan Setiawan

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A New Unconditionally Stable Method for Telegraph Equation Based on Associated Hermite Orthogonal Functions by Di Zhang, Fusheng Peng, Xiaoping Miao

“…And the coefficients of results for all orders can then be obtained by the expanded equations and the numerical results can be reconstructed during the computing process. The precision and stability of the proposed method are proved by some examples, which show the numerical solution acquired is acceptable when compared with some existing methods.…”
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Feynman integrals: Synergies between particle physics and gravitational waves by Mandal Manoj Kumar

“…Feynman integrals are essential for computing scattering amplitudes. Linear relations among these integrals, through Integral-By-Parts (IBP) identities, reduce them to a smaller set of independent integrals, known as master integrals (MIs). …”
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UV System Architecture: Challenges and Evolution by Oscar C. Valderrama-Riveros, Fernando G. Tinetti

“…This work, unlike publications focused on applications, presents the complete architecture of the system: the UV, base station, communications, and, eventually, some computing facilities for application processing. This paper presents the challenges and evaluates an incremental architecture proposal based on a proof of concept that supports evolution. …”
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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. The aim of the study is to develop computer-based prototypes that simulate the processes of solving intellectual problems. …”
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