Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Microgrids integrating PV face challenges such as solar irradiance variability, temperature fluctuations, and intermittent generation, which impact grid stability and battery storage efficiency. …”
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SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine by Ayesha Ubaid, Adrian Lie, Xiaojie Lin

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ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images by Zhengning Zhang, Lin Zhang, Yue Wang, Pengming Feng, Ran He

“…Many detectors, including computer vision and geoscience-based methods, have been proposed in the past decade. …”
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Assessing the quality of whole slide images in cytology from nuclei features by Paul Barthe, Romain Brixtel, Yann Caillot, Benoît Lemoine, Arnaud Renouf, Vianney Thurotte, Ouarda Beniken, Sébastien Bougleux, Olivier Lézoray

“…Background and objective: Implementation of machine learning and artificial intelligence algorithms into digital pathology laboratories faces several challenges, notably the variation in whole slide image preparation protocols. …”
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Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking by Yunrui Zhu, Jing Ma

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A Fault Sources-Based Probabilistic Seismic Hazard Analysis for Next-Generation Seismic Ground Motion Parameters Zonation Map of China by Jiatong Wei, Kun Chen, Mengtan Gao, Jian Zhou, Yongzhe Wang, Yingzhe Cai

“…To enhance the computational efficiency of the new PSHA-CN method, this study developed a novel spatial integration algorithm for PSHA. …”
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Elicitation of Norwegian EQ-5D-5L values for hypothetical and experience-based health states based on the EuroQol Valuation Technology (EQ-VT) protocol by Knut Stavem, Tonya Moen Hansen, Ylva Helland, Liv Ariane Augestad, Kim Rand, Andrew Garratt

“…The most recent EQ-5D valuation protocol will be followed which includes computer assisted face-to-face, one-to-one interviews and use of composite time trade-off and discrete choice experiments.Ethics and dissemination The study has been reviewed and found to be outside of the scope of the ethics committee and thus not in need of ethical approval. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques by Soni Umangbhai, Jethava Gordhan, Ganatra Amit

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Ranking of post-quantum cryptography digital signature schemes using evaluation based on distance from average solutions by Anitha Kumari Kumarasamy, Jaishriram Pichaikutty Muthu, Darshan Kirthic Muthusamy Sadhasivam, Pranavv Aaditya Mohanraj

“… With the development of quantum computing technology, the current cryptographic systems face significant threats. …”
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Research on cryptographic technology of future network information system by Liu Xiaokai, Wang Wendong, Yang Pengfei, Yang Jiangshuai, Meng Xiangbin

“…In the future, network information systems will also face new threats and attack risks while introducing emerging technologies. …”
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A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…The current state-of-the-art methods for interchannel phase error estimation and compensation fall into two categories: calibrator-based methods and data-driven methods relying on synthetic aperture radar echo measurements. These methods face challenges, such as unavailability of the calibrator, reliance on single constraint criteria, and heavy computational burden. …”
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A Constant False Alarm Rate Detection Method for Sonar Imagery Targets Based on Segmented Ordered Weighting by Wankai Na, Haisen Li, Jian Wang, Jiani Wen, Tianyao Xing, Yuxia Hou

“…However, conventional CFAR methods face some limitations, including a slow computational speed, a high false alarm rate (FAR), and a notable missed detection rate (MDR). …”
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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…First, the current compound search space for corrosion inhibitor molecule screening models remains limited. Second, these models face challenges related to computational resources and time costs in practical applications. …”
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Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements by Siwei Li, Liying Song

“…To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals.…”
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Research on the Application of Artificial Intelligence in Quantitative Investment: Implementation Scenarios, Practical Challenges, and Future Trends by Chen Boshan

“…However, AI applications still face challenges such as model overfitting, interpretability limitations, regulatory lag, and computational costs. …”
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Improved LDPC-based short-range frequency-hopping wireless communication system by Wei-dong FANG, Wu-xiong ZHANG, Ming-ming HU, Wei CHEN, Yang YANG

“…In short-range wireless communication system(SWCS)，the complex scenarios make its transmission face the diverse interference，and lower hardware resource leads to its limited anti-interference capability.To achieve the reliable transmission，a frequency-hopping-based SWCS (FH-SWCS)with improved LDPC (I-LDPC) code was constructed.In FH-SWCS，a low-complexity check-sum updating(LCU)algorithm was proposed to reduce the amount of computation.LCU-based multi-threshold bit flipping (LCU-MTBF) algorithm was given to increase the reliability of bit-flipping， improving decoding performance and reduce the complexity of decoding.The simulation results demonstrate that LCU is suitable for multiple hard decisions decoding algorithm，and it can reduce the computational complexity of original decoding algorithm without affecting its performance.When BER is 10⁻⁵，and iterations number is 5，0.15dB performance gain can be achieved，and the number of additions algorithm can be reduced about 40% in LCU-MTBF.In FH-SWCS with I-LDPC，when BER is 10⁻⁴，and SNR is 15dB，the performance gain about 7dB can be achieved to improve the anti-interference of the system effectively.…”
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NNNPE: non-neighbourhood and neighbourhood preserving embedding by Kaizhi Chen, Chengpei Le, Shangping Zhong, Longkun Guo, Ge Xu

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