Charging and discharging processes of low capacity nano-PCM based cool thermal energy storage system: An experimental study von Sathishkumar, A., Cheralathan, M.

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Influence of thermal transport properties of NEPCM for cool thermal energy storage system von Sathishkumar, A., Cheralathan, M.

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Photocatalysis for Energy and Environmental Applications: Current Trends and Future Perspectives von Sathishkumar, Panneerselvam

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Influence of medium- and high-entropy alloy fillers on microstructures and corrosion behaviour of AA5083 plates joined by GTAW process von Kaviyarasan, K., Soundararajan, R., Sivasankaran, S., Sathishkumar, A.

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Investigations on thermal properties of MWCNT-NBN Paraffin Wax phase change material for thermal storage applications von Sathishkumar, A. S., Arun Balasubramanian, K., Ramkumar, T.

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Influence of eutectic-Si in as-cast and fibrous-eutectic-Si in LPBF-processed AlSi10Mg alloys on wear and corrosion behaviors treated with direct aging route von Sathishkumar, A., Soundararajan, R., Sivasankaran, S., Ramesh, A.

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Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry von Krönke, Markus, Eilers, Christine, Dimova, Desislava, Köhler, Melanie, Buschner, Gabriel, Schweiger, Lilit, Konstantinidou, Lemonia, Makowski, Marcus, Nagarajah, James, Navab, Nassir, Weber, Wolfgang, Wendler, Thomas

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STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video von Yang, Guoan, Yang, Yong, Lu, Zhengzhi, Yang, Junjie, Liu, Deyang, Zhou, Chuanbo, Fan, Zien

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A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh von Noorunnahar, Mst, Chowdhury, Arman Hossain, Mila, Farhana Arefeen

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Using Artificial Intelligence (AI) to predict organizational agility von Shafiabady, Niusha, Hadjinicolaou, Nick, Din, Fareed Ud, Bhandari, Binayak, Wu, Robert M X, Vakilian, James

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Visual attention prediction improves performance of autonomous drone racing agents von Pfeiffer, Christian, Wengeler, Simon, Loquercio, Antonio, Scaramuzza, Davide

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Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR von Gillot, Maxime, Baquero, Baptiste, Le, Celia, Deleat-Besson, Romain, Bianchi, Jonas, Ruellas, Antonio, Gurgel, Marcela, Yatabe, Marilia, Al Turkestani, Najla, Najarian, Kayvan, Soroushmehr, Reza, Pieper, Steve, Kikinis, Ron, Paniagua, Beatriz, Gryak, Jonathan, Ioshida, Marcos, Massaro, Camila, Gomes, Liliane, Oh, Heesoo, Evangelista, Karine, Chaves Junior, Cauby Maia, Garib, Daniela, Costa, Fábio, Benavides, Erika, Soki, Fabiana, Fillion-Robin, Jean-Christophe, Joshi, Hina, Cevidanes, Lucia, Prieto, Juan Carlos

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Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme von Pramanik, Rishav, Banerjee, Bihan, Efimenko, George, Kaplun, Dmitrii, Sarkar, Ram

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Multi-scale ResNet and BiGRU automatic sleep staging based on attention mechanism von Liu, Changyuan, Yin, Yunfu, Sun, Yuhan, Ersoy, Okan K

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Global-local least-squares support vector machine (GLocal-LS-SVM) von Youssef Ali Amer, Ahmed

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A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor von Yang, Liu, Nasrat, Loai S, Badawy, Mohamed E, Mbadjoun Wapet, Daniel Eutyche, Ourapi, Manar A, El-Messery, Tamer M, Aleksandrova, Irina, Mahmoud, Mohamed Metwally, Hussein, Mahmoud M, Elwakeel, Abdallah E

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Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal von Das, Amar, Shah, Sangam, Adhikari, Tara Ballav, Paudel, Basanta Sharma, Sah, Sanjit Kumar, Das, Rakesh Kumar, Shah, Chiranjiwi Prasad, Adhikari, Pragati Gautam

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Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks von Nguyen, Thao, Pham, Hieu H, Le, Khiem H, Nguyen, Anh-Tu, Thanh, Tien, Do, Cuong

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W-WaveNet: A multi-site water quality prediction model incorporating adaptive graph convolution and CNN-LSTM von Yang, Shaojun, Zhong, Shangping, Chen, Kaizhi

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An effective up-sampling approach for breast cancer prediction with imbalanced data: A machine learning model-based comparative analysis von Tran, Tuan, Le, Uyen, Shi, Yihui

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