DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…With the growing global demand for clean energy, the accuracy of wind-power forecasting plays a vital role in ensuring the stable operation of power systems. However, wind-power generation is significantly influenced by meteorological conditions and is characterized by high uncertainty and multiscale fluctuations. …”
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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer

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Systematic Literature Review of Speaker Diarization Techniques: Toward Bridging Gaps in Low-resourced Languages Using Machine Learning by Mohd Zulhafiz Rahim, Sarah Samson Juan, Syahrul Nizam Junaini

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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

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Zone adaptive fuel mapping for high resolution wildfire spread forecasting by Paula Sánchez, Irene González, Carlos Carrillo, Ana Cortés, Remo Suppi, Tomàs Margalef

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Time-Dependent Analysis of the Interaction Between Energy Harvesting, Leakage, and Consumption Processes in a Green IoT Device by Godlove Suila Kuaban, Tadeusz Czachorski, Erol Gelenbe, Piotr Czekalski

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An extensive photographic dataset to classify laptop components for automating e-waste management by recycling old laptopsMendeley Data by Maheen Islam, Nishat Tasnim Niloy, Imran Hasan, Rezmah Jemima Rupin, Mehrab Chowdhury, Sajid Faysal Fahim, Md. Mahir Ashhab, Mohammad Manzurul Islam, Md. Sawkat Ali, Mohammad Rifat Ahmmad Rashid

“…To achieve this goal, a good dataset plays a significant role as the systems that operate e waste management machines will learn from this dataset and act accordingly. …”
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CALIBRATION OF ULTRASONIC FLOWMETER FOR WI-FI NETWORK WITH THE HELP OF WEB BROWSER by M. A. Velichko, Yu. P. Gladkikh, O. N. Satler

“…A hardware-software complex (HSC) for automatic calibration / verification of ultrasonic flowmeters was to be developed. …”
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Application and prospects of machine learning for rockfalls, landslides and debris flows by Jiazhu WANG, Yongbo TIE, Yongjian BAI, Yanchao GAO, Donghui WANG, Mingzhi ZHANG

“…Future research should prioritize enhancing data quality and quantity, optimizing model interpretability, improving model reliability and generalization, and establishing real-time monitoring and warning systems for automatic identification and rapid response to geological hazards. …”
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An Automated Semantic Segmentation Methodology for Infrared Thermography Analysis of the Human Hand by Melchior Arnal, Cyprien Bourrilhon, Vincent Beauchamps, Fabien Sauvet, Hassan Zahouani, Coralie Thieulin

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Emotion-Aware RoBERTa enhanced with emotion-specific attention and TF-IDF gating for fine-grained emotion recognition by Fatimah Alqarni, Alaa Sagheer, Amira Alabbad, Hala Hamdoun

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AI-Driven Precision: Transforming Below-Knee Amputation Care in Modern Healthcare by Sarah Duraid AlQaissi, Ahmed A.A. AlDuroobi, Abdulkader Ali. A. Kadaw

“…The patient was scanned using GE Medical Systems, 1,5 Tesla Signa Excite.  MRI images in DICOM format were read to retrieve essential metadata such as pixel spacing and slice thickness. …”
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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer by Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

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Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic by Alfredo Madrid-García, Dalifer Freites-Núñez, Beatriz Merino-Barbancho, Inés Pérez Sancristobal, Luis Rodríguez-Rodríguez

“…The most frequent topics were RA, systemic lupus erythematosus, and osteoarthritis. Expected topics such as COVID-19 or JAK inhibitors were identified after conducting dynamic TM. …”
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Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management by Wenhua Li, Guo Zhang, Tao Zhang, Shengjun Huang

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Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT Framework by Ali Mahmoud Mayya, Nizar Faisal Alkayem

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Cryoconite holes geomorphometry, spatial distribution and radiative impact over the Hells Gate Ice Shelf, East Antarctica by Giacomo Traversa, Riccardo Scipinotti, Samuele Pierattini, Gianluca Bianchi Fasani, Biagio Di Mauro

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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

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Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution by Shizhao Li, Zhichao Yan, Boxiang Ma, Shaoru Guo, Hongxia Song

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