Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods. …”
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Quantification of Flavonoid Contents in Holy Basil Using Hyperspectral Imaging and Deep Learning Approaches by Apichat Suratanee, Panita Chutimanukul, Kitiporn Plaimas

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A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes by Ahmed K. Jameil, Hamed Al-Raweshidy

“…Abstract Digital Twin (DT) technology in healthcare is relatively new and faces several challenges, e.g., real-time data processing, secure system integration, and robust cybersecurity. …”
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The Importance of Bottom Friction on Thermal Structure During Freezing of Small Shallow Lakes in Qinghai‐Tibet Plateau by Mengxiao Wang, Lijuan Wen, Lauri Arvola, Victor Stepanenko, Dongsheng Su

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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…Quantum computers, which utilize the principles of quantum mechanics for information processing, have made significant advancements over the past decade. …”
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Shape‐Selective Molecular Separations Enabled by Rigid and Interconnected Confinements Engineered in Conjugated Microporous Polymer Membranes by Yanqiu Lu, Hao Deng, Liling Zhang, Yong Wang, Sui Zhang

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AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

“…It explores in detail the technical attributes of the NVIDIA Jetson Nano, including its compact design, robust computing power, and the availability of software libraries that facilitate the deployment of AI models on devices with limited resources. …”
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The two-loop Lipatov vertex in QCD by Samuel Abreu, Giuseppe De Laurentis, Giulio Falcioni, Einan Gardi, Calum Milloy, Leonardo Vernazza

“…In the present paper we extend the relevant theoretical framework to 2 → 3 processes, and compute all multi-Reggeon exchanges necessary for extracting the two-loop Reggeon-gluon-Reggeon Lipatov vertex from 2 → 3 amplitudes. …”
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Simulation-based assessment of digital twin systems for immunisation by Leonardo de Oliveira El-Warrak, Claudio Miceli de Farias, Victor Hugo Dias Macedo De Azevedo Costa

“…The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard.MethodsThe system modelling is carried out using the Unified Modelling Language (UML) to define the workflows and processes involved, including vaccine storage temperature monitoring and population vaccination status tracking. …”
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Balancing Ethics and Privacy in the Use of Artificial Intelligence in Institutions of Higher Learning: A Framework for Responsive AI Systems by Belinda Ndlovu, Kudakwashe Maguraushe

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Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects by Amel Neifar, Imen Barraj, Hassen Mestiri, Mohamed Masmoudi

“…Memristors, as the fourth fundamental circuit element, have attracted significant interest for their potential in analog signal processing, computing, and memory storage technologies. …”
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Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View by Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi

“…Different from traditional process which computes reduct through employing a fixed granularity, our algorithm aims to obtain reduct from the viewpoint of multigranularity. …”
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis by Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen

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The Exploration of Student Emotion Experience and Learning Experience in E-learning Platform by Fitra Abdurrachman Bachtiar, Riza Setiawan Soetedjo, Joseph Ananda Sugihdarma, Retno Indah Rokhmawati, Lailil Muflikhah

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Unlocking financial innovation through strategic investments in information management: a systematic review by Askar Garad, Hosam Alden Riyadh, Abdullah M. Al-Ansi, Baligh Ali Hasan Beshr

“…By examining the integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Big Data Analytics, Cloud Computing, Large Language Models (LLMs), Robotic Process Automation (RPA), Internet of Things (IoT), Cybersecurity Technologies, and Quantum Computing, this research aims to highlight how these technologies enhance decision-making, operational effectiveness, risk management, and compliance within the financial sector. …”
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A Rotated Object Detection Model With Feature Redundancy Optimization for Coronary Athero-Sclerotic Plaque Detection by Xue Hao, Haza Nuzly Abdull Hamed, Qichen Su, Xin Dai, Linqiang Deng

“…Furthermore, the feature fusion process produces redundant information. These redundant features interfere with plaque feature extraction, resulting in decreased performance and increased computational complexity. …”
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Rapid global fitting of large fluorescence lifetime imaging microscopy datasets. by Sean C Warren, Anca Margineanu, Dominic Alibhai, Douglas J Kelly, Clifford Talbot, Yuriy Alexandrov, Ian Munro, Matilda Katan, Chris Dunsby, Paul M W French

“…It makes efficient use of both computer processor and memory resources, requiring less than a minute to analyse time series and multiwell plate datasets with hundreds of FLIM images on standard personal computers. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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Compact Unidirectional Laser Based on All-Dielectric Metasurface With High Quality Factor by Ke Xu, Ming Fang, Zhixiang Huang

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Robust Nonfragile H∞ Filtering for Uncertain T-S Fuzzy Systems with Interval Delay: A New Delay Partitioning Approach by Xianzhong Xia, Renfa Li, Jiyao An

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