A novel star-nosed mole optimization algorithm applied for MPPT of PV systems by Ali M. Eltamaly, Zeyad A. Almutairi

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Control method for seamless switching in hydrogen energy and pantograph-catenary parallel power supply system by ZHENG Hengliang, HOU Dazhi, SUN Shijie, LIU Wenquan, JIA Limin

“…With the control power targets of the Boost converter on the hydrogen power supply side in the grid-connected and standalone states interrelated, a unified Boost converter power command configuration strategy was established, which could realize the self-adaptive adjustment of the control power targets of the Boost converter to the grid-connected and standalone states of the hydrogen and pantograph-catenary power supply system, ensuring the DC bus voltage of the parallel system stable. …”
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A Feature-Fusion Technique-Based Alzheimer’s Disease Classification Using Magnetic Resonance Imaging by Abdul Rahaman Wahab Sait, Ramprasad Nagaraj

“…Methods: The authors improved the AD feature-extraction process by modifying the existing ViTs. A CatBoost-based classifier was used to classify the extracted features into multiple classes. …”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

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AE-XGBoost: A Novel Approach for Machine Tool Machining Size Prediction Combining XGBoost, AE and SHAP by Mu Gu, Shuimiao Kang, Zishuo Xu, Lin Lin, Zhihui Zhang

“…The subsequent SHAP analysis reveals the importance and interrelationship of features and provides a reliable decision support system for machine tool processing personnel, helping to improve processing quality and achieve intelligent manufacturing.…”
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Effect of hydrothermal treatments on physicochemical, rheological and nutritional properties of millet: An analytical review by Ronak Tanwar, Anil Panghal, Anju Kumari, Navnidhi Chhikara

“…These changes facilitate the release of bioactive compounds such as phenolics, flavonoids, and tannins. These processes effectively reduce anti-nutritional factors, further boosting nutrient availability. …”
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Managing Operational Efficiency and Reducing Aircraft Downtime by Optimization of Aircraft On-Ground (AOG) Processes for Air Operator by Iyad Alomar, Diallo Nikita

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Dynamic Feature Extraction and Semi-Supervised Soft Sensor Model Based on SCINet for Industrial and Transportation Processes by Jun Wang, Changjian Qi, Xing Luo, Shihao Deng, Qi Lei

“…In industrial processes, dynamic changes are one of the factors restricting the performance of soft sensor models. …”
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RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios by Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper

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High-Quality Manufacturing with Electrochemical Jet Machining (ECJM) for Processing Applications: A Comprehensive Review, Challenges, and Future Opportunities by Yong Huang, Yi Hu, Xincai Liu, Xin Wang, Siqi Wu, Hanqing Shi

“…Furthermore, this review explores recent innovations in process optimization, significantly boosting machining efficiency and quality. …”
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Self-lubricative performance of laser processed graphene structures for space applications via digital twin approach by Praveen Kumar Kanti, Prashantha Kumar H. G, V．Vicki Wanatasanappan, Hanen Karamti, Vijayalaxmi Mishra, Majed Alsubih, Prabhu Paramasivam, Abinet Gosaye Ayanie

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This study addresses the forecasting of soybean oil prices in China’s wholesale markets by developing a Bayesian-optimized Multi-Task Gaussian Process Regression (MTGPR) framework. Traditional econometric models and machine learning approaches often struggle with non-stationary data and uncertainty quantification, while existing Gaussian process applications in agricultural markets remain underexplored. …”
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A mini review on AI-driven thermal treatment of solid waste: Emission control and process optimization by Dongjie Pang, Cristina Moliner, Tao Wang, Jin Sun, Xinyan Zhang, Yingping Pang, Xiqiang Zhao, Zhanlong Song, Ziliang Wang, Yanpeng Mao, Wenlong Wang

“…This review examines the deployment of AI-optimized control algorithms in processes including pyrolysis, incineration, and gasification. …”
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Application of machine learning to optimized design of layer structured particles by Hiroki GONOME, Hirotake SATO, Tatsuro HIRAI

“…These particles can be easily fabricated by sputtering a thin film on a spherical insulator, which significantly reduces the amount of material used and the process is inexpensive. However, the combination of factors that determine the radiative properties of the particles is enormous. …”
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Segmentation of Clinical Endoscopic Images Based on the Classification of Topological Vector Features by O. A. Dunaeva, D. B. Malkova, M. L. Machin, H. Edelsbrunner

“…The used algorithm is based on the classification of vectors of the topological features of the original image. We use the image processing scheme which includes image preprocessing, calculation of vector descriptors defined for every point of the source image and the subsequent classification of descriptors. …”
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Activated carbon nanofibers from lignin/recycled-PET and their adsorption capacity of refractory sulfur compounds from fossil fuels by Efstratios Svinterikos, Ioannis Zuburtikudis, Mohamed Al-Marzouqi

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SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images by Bo Zhao, Panpan Tang, Xiaoyan Luo, Linze Li, Shi Bai

“…This is because it inherits most of the advantages of UNet3+ in object location and boundary production, and the introduction of pre-processing also gives it a significant accuracy boost.…”
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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

“…In this context, deep learning-based image processing techniques play a crucial role in detecting diseases in tomato fruits. …”
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Analysis of the Impact of the Stylometric Characteristics of Different Levels for the Verification of Authors of the Prose by Alla Mikhajlovna Manakhova, Nadezhda Stanislavovna Lagutina

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Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

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