Cache Aging with Learning (CAL): A Freshness-Based Data Caching Method for Information-Centric Networking on the Internet of Things (IoT) by Nemat Hazrati, Sajjad Pirahesh, Bahman Arasteh, Seyed Salar Sefati, Octavian Fratu, Simona Halunga

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POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN COMPUTER-AIDED DESIGN OF STAINED GLASS ART by Andrii Petrushevskyi, Yevhen Antonovych

“…The aim of the article is to explore and uncover the possibilities of applying artificial intelligence in stained glass computer design. The article aims to identify the potential advantages of intelligent systems in creating and optimizing stained glass designs, particularly in analyzing and processing large volumes of data, automating the design process, enhancing accuracy and speed of development, as well as improving the functionality and aesthetic appearance of the final product. …”
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A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives by Essia Ben Alaia, Slim Dhahri, Omar Naifar

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Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning by Liangcai Zhou, Long Huo, Linlin Liu, Hao Xu, Rui Chen, Xin Chen

“…A heterogeneous multi-agent proximal policy optimization (H-MAPPO) DRL algorithm is introduced for multi-area power systems. …”
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3D Human Motion Capture Method Based on Computer Vision by A. D. Obukhov, D. L. Dedov, E. O. Surkova, I. L. Korobova

“…A  method  of  motion  capture  was  presented,  including  calibration  of  several  cameras  and formalization of procedures for detecting a person in a frame using a convolutional neural network. Based on the skeletal points obtained from the neural network, a three-dimensional reconstruction of the human body model was carried out using various triangulation algorithms.Results. …”
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Handling Heterogeneous Traffic  for Software Defined Data-Center Network Using Spike Neural Network by Sanarya Jamal AL-Azawee, Nadia Adnan Shiltagh Al-Jamali

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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…Meanwhile, this paper analyzes the problems of data scarcity, computational efficiency, and model interpretability faced in the current research, and looks forward to the possible improvements brought by hybrid methods, including physical information neural networks, in future research directions. …”
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Low-Power Branch CNN Hardware Accelerator with Early Exit for UAV Disaster Detection Using 16 nm CMOS Technology by Yu-Pei Liang, Wen-Chin Chao, Ching-Che Chung

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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

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Open-Set Recognition of Environmental Sound Based on KDE-GAN and Attractor–Reciprocal Point Learning by Jiakuan Wu, Nan Wang, Huajie Hong, Wei Wang, Kunsheng Xing, Yujie Jiang

“…To address this gap, this study investigates how to effectively recognize unknown sound categories in real-world environments by proposing a novel Kernel Density Estimation-based Generative Adversarial Network (KDE-GAN) for data augmentation combined with Attractor–Reciprocal Point Learning for open-set classification. …”
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Where are higher-order cognitive functions? The paradox of non-locality in awake cognitive mapping using a complex dynamic system framework by Jesús Martín-Fernández, Jesús Martín-Fernández, Jesús Martín-Fernández, Nayra Caballero-Estebaranz, Nayra Caballero-Estebaranz, Nayra Caballero-Estebaranz, Esteban Félez, Esteban Félez, Natalia Navarro-Peris, Pedro Pérez del Rosario, Pedro Pérez del Rosario, Raúl Hernández Bisshopp, Jaime Domínguez-Báez

“…An illustrative case involving a right parietal glioma demonstrates how this methodology integrates computational neuroscience, network theory, and clinical practice to achieve optimal functional preservation and maintain the patient’s quality of life.…”
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Method for estimating the pose of a robotic arm using a camera and calibration pattern by M. Bailova, M. Beres, P. Beremlijski, J. Koziorek, M. Prauzek, J. Konecny

“…To solve the resulting optimization problem, the method integrates Newton's method with a neural network (NN) pre-trained on a full camera model. …”
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IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN by Dibas Kumar Hembram, Satya Narayan Tripathy, CH Narsimha Reddy, Debabrata Dansana, Quadri Noorulhasan Naveed, Shafat khan, Mohammed Kareemullah, Addisu Frinjo Emma

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Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism by Guoqing Zhou, Haoxin Qi, Shuo Shi, Sifu Bi, Xingtao Tang, Wei Gong

“…To address this problem, we introduce the dual attention spectral optimization reconstruction network (DossaNet), leveraging an attention mechanism and spatial–spectral information. …”
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Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections by Shih-Lin Lin, Jun-Yi Wu

“…Although the increased network complexity and added layers lead to longer training times, the robust performance justifies the computational cost. …”
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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…Several innovations were introduced to the YOLOv8n framework: (1) An ALKBlock-based C2f module incorporating DACov structure to enhance spatial perception; (2) An EffQA-FPN feature pyramid network inspired by QARepVGG to mitigate precision loss during quantization and reparameterization; (3) A DynamicHead attention mechanism with multi dimensional perception capabilities; and (4) EIoU and Adaptive Wing Loss functions to optimize bounding box and key point regression. …”
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Advancing OAM-Based FSO Systems: Tackling Pointing Errors for Next-Generation Space and Terrestrial Links by Mohammad Taghi Dabiri, Meysam Ghanbari, Mazen Hasna

“…For inter-satellite links, where severe pointing errors dominate, we propose an innovative asymmetric mode design and optimal beam waist adjustment to enhance robustness against angular misalignments. …”
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Modeling full-scale leaf venation networks. by Lars Erik J Skjegstad, Julius B Kirkegaard

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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

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