Efficient energy consumption in smart buildings using personalized NILM-based recommender system by Fatemeh Taghvaei, Ramin Safa

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Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery by Haoran Sun, Siqiao Tan, Zhengliang Luo, Yige Yin, Congyin Cao, Kun Zhou, Lei Zhu

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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

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Teachers’ Perspectives on Teaching and Learning during the Pandemic in the United States by Ximena D. Burgin, Mayra C. Daniel, Teresa A. Wasonga

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Personal Data of Adolescents in Higher Education: The LGPD and the Use of Digital Media for Teaching Activities and Remote Testing by Thaís Duarte Zappelini, Laurianne-Marie Schippers, Alexandre Pacheco da Silva

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Becoming a Caregiver: The Role of the Environment in the Process of Children Becoming Responsible for Others by Carolina Remorini

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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

Subjects: “…deep learning…”
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La fin d’une école, le début d’une autre ? by François Durpaire, jean-louis Durpaire

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3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss by Sahil Sharma, Vijay Kumar

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Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks by Alireza Pourkeyvan, Ramin Safa, Ali Sorourkhah

Subjects: “…Machine learning…”
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Implementation of the course “good chemistry: methodological, ethical and social implications” – a case study by Maciejowska Iwona

Subjects: “…blended learning…”
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Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods by E. G. Komyshev, M. A. Genaev, I. D. Busov, M. V. Kozhekin, N. V. Artemenko, A.  Y. Glagoleva, V. S. Koval, D. A. Afonnikov

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Unveiling Cuproptosis-Driven Molecular Clusters and Immune Dysregulation in Ankylosing Spondylitis by Wei B, Wang S, Li S, Gu Q, Yue Q, Tang Z, Zhang J, Liu W

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

Subjects: “…ensemble learning…”
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Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers by Sohail Khan, Mohammad Nauman

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Wireless real-time monitoring based on triboelectric nanogenerator with artificial intelligence by Dexin Tang, Yuankai Zhou, Xin Cui, Yan Zhang

Subjects: “…Deep learning…”
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