Deep Learning Methods in Soft Robotics: Architectures and Applications by Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský

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BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes by Thanadol Tuntiwongwat, Sippawit Thammawiset, Thongchai Rohitatisha Srinophakun, Chawalit Ngamcharussrivichai, Somboon Sukpancharoen

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Bone tumor recognition strategy based on object region and context representation in medical decision-making system by Yueguang Liu, Jun Liu, Tingyi Dai, Fangfang Gou

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Pretraining instance segmentation models with bounding box annotations by Cathaoir Agnew, Eoin M. Grua, Pepijn Van de Ven, Patrick Denny, Ciarán Eising, Anthony Scanlan

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PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

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JointNet4BCD: A Semi-Supervised Joint Learning Neural Network with Decision Fusion for Building Change Detection by Hao Chen, Chengzhe Sun, Jun Li, Chun Du

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HPM-Match: A Generic Deep Learning Framework for Historical Landslide Identification Based on Hybrid Perturbation Mean Match by Shuhao Ran, Gang Ma, Fudong Chi, Wei Zhou, Yonghong Weng

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Depth-Guided Monocular Object Pose Estimation for Warehouse Automation by Phan Xuan Tan, Dinh-Cuong Hoang, Anh-Nhat Nguyen, Eiji Kamioka, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Duc-Huy Ngo, Minh-Duc Cao, Thu-Uyen Nguyen, Van-Thiep Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do

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GMS-JIGNet: guided multi-scale jigsaw puzzles for self-supervised artificial spot segmentation in fundus photography by Jaehan Joo, Hunyoul Lee, Suk Chan Kim

Subjects: “…Self-supervised learning…”
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Human action recognition method based on multi-view semi-supervised ensemble learning by Shengnan CHEN, Xinmin FAN

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Parameter-efficient weakly supervised referring video object segmentation via chain-of-thought reasoning by Xing Wang, Zhe Xu, Yuanshi Zheng, Handing Wang

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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children by Sourav Paul, Minhazur Rahman, Anutee Dolley, Kasturi Saikia, Chongtham Shyamsunder Singh, Arifullah Mohammed, Ghazala Muteeb, Rosy Sarmah, Nima D. Namsa

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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

Subjects: “…Supervised Learning…”
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The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence by Ying Yan

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FPCR-Net: Front Point Cloud Regression Network for End-to-End SMPL Parameter Estimation by Xihang Li, Xianguo Cheng, Fang Chen, Furui Shi, Ming Li

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An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform by Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara

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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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A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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