MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization by Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panagiotis Pintelas

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Towards Detecting Associations of Canine Astrovirus and Caliciviruses with Health and Living Characteristics of Dogs in Greece by Efthymia Stamelou, Konstantinos Papageorgiou, Dimitrios Papadopoulos, Georgios Delis, Dimitrios Chatzopoulos, Zoi Athanasakopoulou, Efstratios Moschidis, Evanthia Petridou, Spyridon K. Kritas

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On the art of designing effective space-times with free surface flows in Analogue Gravity by Bossard, Alexis, James, Nicolas, Jules, Valentin, Fourdrinoy, Johan, Robertson, Scott, Rousseaux, Germain

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A supervised model to identify wolf behavior from tri-axial acceleration by Charlotte Lorand, Léa Bouet, Olivier Devineau, Marianna Chimienti, Alina L. Evans, Peggy Callahan, Mark Beckel, Timothy G. Laske, Ane Eriksen

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Ultrasound Diagnosis of Hamstring Muscle Complex Injuries Focus on Originate Tendon Structure—Male University Rugby Players by Makoto Wada, Tsukasa Kumai, Takumi Okunuki, Takeshi Sugimoto, Kotaro Ishizuka, Yasuhito Tanaka

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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

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The prognosis and metabolite changes of NSCLC patients receiving first‐line immunotherapy combined chemotherapy in different M1c categories according to 9th edition of TNM classifi... by Liang Zheng, Fang Hu, Wei Nie, Jun Lu, Bo Zhang, Jianlin Xu, Shuyuan Wang, Ying Li, Xiaoxuan Zheng, Wei Zhang, Yinchen Shen, Runbo Zhong, Tianqing Chu, Baohui Han, Hua Zhong, Xueyan Zhang

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Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network by Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu, Viorel Bostan

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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

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Slope classification of Slovenia and selected field survey results from the Slovenian Motorway Project: A dataset for studying the influence of geomorphic processes on the field su... by Luka Gruškovnjak

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Regional Epidemiological Study on the Dental Status of the First Permanent Molar in Romanian Schoolchildren by Liana Beresescu, Gabriela Felicia Beresescu, Daniela Esian, Alexandru Vlasa, Csilla Benedek, Raluca Sabau, Alexandra Mihaela Stoica

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

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Robust Multi-Subtype Identification of Breast Cancer Pathological Images Based on a Dual-Branch Frequency Domain Fusion Network by Jianjun Li, Kaiyue Wang, Xiaozhe Jiang

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assessment of land-cover change in South part of Lake Urmia using satellite imagery by Khadijeh Mikaeli Hajikandi, Behrooz Sobhani, Saeid Varamesh

“…The results of change detection showed considerable increase in the area of Irrigated Farmland (13.44) and garden 1.85 (27.24) an also at the studied period, the area of the water bodies and rangeland were decreased to 1.58 and 22.94%.…”
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A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

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Differential Prognosis of True Bifurcation Lesions According to Left Main Versus Non–Left Main Location and Treatment Strategy by Ki Hong Choi, Chang‐Wook Nam, Francesco Bruno, Yun‐Kyeong Cho, Leonardo De Luca, Jeehoon Kang, Alessio Mattesini, Young Bin Song, Alessandra Truffa, Hyo‐Soo Kim, Wojciech Wańha, Woo Jung Chun, Sebastiano Gili, Gerard Helft, Seung Hwan Han, Bernardo Cortese, Cheol Hyun Lee, Javier Escaned, Hyuck‐Jun Yoon, Alaide Chieffo, Joo‐Yong Hahn, Guglielmo Gallone, Seung‐Hyuk Choi, Gaetano De Ferrari, Bon‐Kwon Koo, Giorgio Quadri, Seung‐Ho Hur, Fabrizio D'Ascenzo, Hyeon‐Cheol Gwon, Ovidio de Filippo

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A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks by Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta

“…At the same time, the risk of severe undernutrition, including conditions of being underweight, stunted, and wasted (USW), increased from 1.3% to 9.4%. Conclusions The LSTM-FC model outperforms baseline methods in classifying and predicting Ethiopian children's nutritional statuses. …”
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