TrioConvTomatoNet-BiLSTM: An Efficient Framework for the Classification of Tomato Leaf Diseases in Real Time Complex Background Images by S. Ledbin Vini, P. Rathika

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Computer Vision-Based Multiple-Width Measurements for Agricultural Produce by Cannayen Igathinathane, Rangaraju Visvanathan, Ganesh Bora, Shafiqur Rahman

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Innovative EMD-Based Technique for Preventing Coffee Grinder Damage from Stones with FPGA Implementation by Chiang Liang Kok, Yuwei Dai, Yit Yan Koh, Maoyang Xiang, Tee Hui Teo

“…Coffee is one of the most widely consumed beverages globally, with Americans averaging 3.1 cups per day. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

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Gypsum Factory Site Selection in Qom Province using Different Multi-Criteria Decision Making Methods and Remote Sensing Techniques by Fahimeh Akbari, Afsaneh Afzali, Maliheh Abbaszadeh

“…Then the criteria were weighted using the analytic hierarchy process method. According to the results of weighting using the analytic hierarchy process method, it was determined that the distance from gypsum mines and distance from industries were introduced as the most important (0.231) and least important (0.021) criteria, respectively. …”
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Experimental and analytical study of the residual performance of reinforced concrete deep beams with circular web openings by Mohammad Shabanlou, Zeinab Meghdadi, Seyed Hamidreza Ghaffar

“…For this purpose, the location of the opening, which is the most critical factor influencing the behavior of deep beams with openings, was selected as the primary variable. …”
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Human Face Recognition Based on Local Ternary Pattern and Singular Value Decomposition by Ali Nadhim Razzaq, Rozaida Ghazali, Nidhal Khdhair El Abbadi, Hussein Ali Hussein Al Naffakh

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Modeling and Characterization of Complex Dynamical Properties of Railway Ballast by Xia Hua, Wael Zatar, Xiangle Cheng, Gang S. Chen, Yini She, Xiaotian Xu, Zhicheng Liao

“…Conventionally, to characterize time/space-varying characteristics of ballast along the track, ground-penetrating radar (GPR) has been used as the most efficient approach to survey railway networks quickly and to infer track dynamical properties. …”
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Visual Discomfort in the Built Environment: Leveraging Generative AI and Computational Analysis to Evaluate Predicted Visual Stress in Architectural Façades by Cleo Valentine, Arnold J. Wilkins, Heather Mitcheltree, Olivier Penacchio, Bruce Beckles, Ian Hosking

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Generative Artificial Intelligence and Risk Appetite in Medical Decisions in Rheumatoid Arthritis by Florian Berghea, Dan Andras, Elena Camelia Berghea

“…The adapted GRiPS showed significant differences in general risk propensity among GenAIs (ChatGPT being the least risk-averse and Qwen/DeepSeek the most), though these differences diminished in specific prognostic contexts. …”
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Proposals for Next-Generation Eco-Friendly Non-Flammable Refrigerants for a −100 °C Semiconductor Etching Chiller Based on 4E (Energy, Exergy, Environmental, and Exergoeconomic) An... by Hye-In Jung, Chang-Hyo Son, Joon-Hyuk Lee

“…To precisely maintain the temperature under high loads, the cascade mixed-refrigerant cycle (CMRC) is predominantly used. However, most refrigerants currently used in semiconductor cryogenic etching have high global warming potential (GWP). …”
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Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study by Milandu Keith Moussavou Boussougou, Prince Hamandawana, Dong-Joo Park

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Machine learning for improved size estimation of complex marine particles from noisy holographic images by Zonghua Liu, Zonghua Liu, Marika Takeuchi, Yéssica Contreras, Thangavel Thevar, Alex Nimmo-Smith, John Watson, Sarah L. C. Giering

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Elucidation of soaking and steaming duration in parboiling: effects on the physical quality and appearance of local rice cultivars by Zubair Noori, Shingo Furuichi, Kifayatullah Kakar, Shafiqullah Aryan, Mohamed A. El-Sheikh, Hosam O. Elansary, Rashed Mozafari

“…Various factors, such as processing techniques and parboiling methods, play a crucial role in influencing the overall quality of rice grains. …”
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A rapid and simple bead-bashing-based method for genomic DNA extraction from mammalian tissue by Shan Wei, Brynn Levy, Nataly Hoffman, Claudia Cujar, Reunet Rodney-Sandy, Ronald Wapner, Mary D'Alton, Zev Williams

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Harnessing deep learning to monitor people’s perceptions towards climate change on social media by Ana Sofia Cardoso, Catarina da Silva, Andrea Soriano-Redondo, Ivan Jarić, Susana Batel, João Andrade Santos, Alípio Jorge, Ana Sofia Vaz

“…The classification of sentiments, emotions, and irony was also efficient, with evaluation metrics ranging from 71 to 92%. Most users’ reactions were neutral (> 35%) or negative (> 39%), mostly associated to sentiments of anger and sadness over climate impacts. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…Furthermore, the Faster R-CNN model is used for the object detection process. Moreover, the EATBP-ODHOA method utilizes fusion models such as ResNet and DenseNet-201 for the feature extraction process. …”
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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

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Initial Awareness as Perceived by a Group of Senior Students Majoring in High School Teaching in regards to their Own Teaching Process Focused on Assessment Activities by Gerardo Ignacio Sánchez-Sánchez, Ximena Elizabeth Jara-Amigo

“…Results show that the assessment teaching functions are mostly mentioned as essential to improve their teaching activities focused on the learning process of high school students. …”
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Clean Label Approaches in Cheese Production: Where Are We? by Jaime Fernandes, Sandra Gomes, Fernando H. Reboredo, Manuela E. Pintado, Olga Amaral, João Dias, Nuno Alvarenga

“…Non-thermal technologies, such as high-pressure processing (HPP), pulsed electric fields (PEF), ultra-violet (UV), and visible light (VL), are among the most promising methods that effectively control microbial growth while preserving the nutritional and functional properties of cheese. …”
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