Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems by Haixiao Li, Pedro P. Vergara, Robert Dimitrovski, Hongjin Du, Aleksandra Lekić

“…Techniques such as multi-cut generation and asynchronous updating are utilized to upgrade the GBD performance of computation efficiency and address communication delays. …”
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Towards Understanding the Security of Modern Image Captchas and Underground Captcha-Solving Services by Haiqin Weng, Binbin Zhao, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Raheem Beyah

“…However, the ever-advancing capabilities of computer vision have gradually diminished the security of image captchas and made them vulnerable to attack. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

“…These models also suffer from high computational complexity when deeper layers are introduced to handle fine-grained details. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

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Microstructure evolution and mechanical properties degradation behavior of nuclear power pressure vessel steel induced by prolonged thermal aging by Tengfei Wang, Junkang Gao, Shaohong Li, Jun Li, Junwan Li, Hengyong Bu, Huarong Qi, Zhimin Li, Mengnie Li

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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…Masking autoencoding is a promising self-supervised learning approach that greatly advances computer vision and natural language processing. For robust 2D representations, pre-training with large image data has become standard practice. …”
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Design of High Performance Hybrid Type Digital-Feedback Low Drop-Out Regulator Using SSCG Technique by Muhammad Asif, Imran Ali, Danial Khan, Muhammad Riaz Ur Rehman, Younggun Pu, Sang-Sun Yoo, Kang-Yoon Lee

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…Additionally, we propose a computational method to map the attention weights of the graph nodes to the weights of nucleotides in the lncRNA sequence, allowing SGCL-LncLoc to serve as an interpretable deep learning model. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

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Gradient diffusion entropy corrected ALNS optimization for vegetation topology interaction networks by Shengwei Wang, Hongquan Chen, Yulin Guo, Wenjing Su, Yurong Xu, Shuohao Cui, Zhiqiang Zhou

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Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews by B. Priya Kamath, M. Geetha, U. Dinesh Acharya, Dipesh Singh, Ayush Rao, Shwetha Rai, Roopashri Shetty

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Dynamic Key Replacement Mechanism for Lightweight Internet of Things Microcontrollers to Resist Side-Channel Attacks by Chung-Wei Kuo, Wei Wei, Chun-Chang Lin, Yu-Yi Hong, Jia-Ruei Liu, Kuo-Yu Tsai

“…The lightweight D-H key exchange ensures that even resource-constrained IoT devices can securely perform key exchanges without significant computational overhead. Experimental results demonstrate the practicality and security of the proposed mechanism, achieving key updates with minimal time overhead, ranging from 12 to 50 milliseconds per encryption transmission. …”
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Type and cotype of some Banach spaces by Mieczyslaw Mastylo

“…Type and cotype are computed for Banach spaces generated by some positive sublinear operators and Banach function spaces. …”
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Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential by Shuliang Wang, Kanokwan Malang, Hanning Yuan, Aniwat Phaphuangwittayakul, Yuanyuan Lv, Matthew David Lowdermilk, Jing Geng

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Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

“…Abstract This paper introduces a new probabilistic composite model for the detection of zero-day exploits targeting the capabilities of existing anomaly detection systems in terms of accuracy, computational time, and adaptability. To address the issues mentioned above, the proposed framework consisted of three novel elements. …”
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Knowledge Graph-Enhanced Digital Twin Framework for Optimized Job Shop Scheduling in Smart Manufacturing by Nehal Tarek, Abeer D. Algarni, Nancy A. El-Hefnawy, Hatem Abdel-Kader, Amira Abdelatey

“…The second algorithm uses the results of the first algorithm to calculate the running time and energy consumption for each machine in each production line, considering that the production lines of the factory vary in capacity and power, then computes the total energy consumption and presents the results to the decision maker via a dashboard. …”
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Pic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations by Yosua Setyawan Soekamto, Andreas Lim, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Suk-Ho Lee, Dae-Ki Kang

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A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds by Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN

“…The results show that the proposed method achieves a human activity recognition rate of 96.75% while consuming fewer parameters and computational resources, thereby verifying its effectiveness.…”
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