IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

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Peran Interaktivitas dalam Penggunaan E-learning: Perluasan Model UTAUT by Yuni Marlina Saragih, Erwin Setiawan Panjaitan, Roni Yunis

“…STMIK Mikroskil had introduced E-learning, specifically Moodle, prior to covid-19. However, during the COVID-19 epidemic, the usage of E-learning exploded, and because the enormous number of transactions carried out in online learning activities could not be supported, STMIK Mikroskil chose Microsoft Teams as an online learning medium. …”
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Interpretable Combinatorial Machine Learning-Based Shale Fracability Evaluation Methods by Di Wang, Dingyu Jiao, Zihang Zhang, Runze Zhou, Weize Guo, Huai Su

Subjects: “…combinatorial machine learning…”
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Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider by Wei Lan, Xiang Jin, Xin Chang, Tianlin Wang, Han Zhou

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Modeling and Analysis of Multifocus Picture Division Algorithm Based on Deep Learning by Hongxia You

“…As a complex machine learning algorithm, deep learning can extract object shape information and more complex and advanced information in images by using a deep learning model. …”
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Machine learning-based prognostic model for patients with anaplastic thyroid carcinoma by Yihan Sun, Da Lin, Xiangyang Deng, Yinlong Zhang

“…This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm. Methods A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients. …”
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Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning by Manman Sun, Lijun Wang

“…This paper first gives a general introduction to deep learning and adds image segmentation technology to design experiments for bodybuilding and fitness. …”
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Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study by Ren Zhang, Yi Liu, Zhiwei Zhang, Rui Luo, Bin Lv

“…Participants were divided into training (1358/2055, 66.1%) and validation (697/2055, 33.9%) sets by random sampling. Machine learning–based predictive models were developed in the training cohort. …”
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D2D computation task offloading for efficient federated learning by Xiaoran CAI, Xiaopeng MO, Jie XU

Subjects: “…federated learning…”
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Reconstruction of Three-Dimensional Porous Media Using Deep Transfer Learning by Yi Du, Jie Chen, Ting Zhang

“…Currently, as one of the important branches of machine learning methods, the deep transfer learning (DTL) method has shown good performance in extracting features and transferring them to the predicted objects, which can be used for the reconstruction of porous media. …”
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Identity-based fully homomorphic encryption from learning with error problem by Yan GUANG, Yue-fei ZHU, Jin-long FEI, Chun-xiang GU, Yong-hui ZHENG

Subjects: “…learning with error problem…”
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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

Subjects: “…federated learning…”
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Short-term solar irradiance forecasting using deep learning models by Syed Saad Ahmed, Chang Wei Bin, Nisar Humaira, Riaz Hannan Naseem, Yeap Kim Ho, Zaber Nursaida Mohamad

“…In this paper, short-term solar forecasting models are proposed using deep learning to reliably predict the amount of solar irradiance for optimal power generation. …”
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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

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Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria by Oluwaseun Isaac Odufisan, Osekhonmen Victory Abhulimen, Erastus Olarenwaju Ogunti

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Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks by Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi

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Robust Trajectory Tracking of Uncertain Systems via Adaptive Critic Learning by Ziliang Zhao, Qinglin Zhu, Bin Guo

“…Finally, two innovative critic learning techniques are suggested to calculate the unknown NN weights, where the convergence of NN weights can be guaranteed. …”
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Evaluating machine learning models for supernova gravitational wave signal classification by Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev, Ernazar Abdikamalov

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Application of Enhanced EWT and Enhanced Dictionary Learning in Bearing Faults Identification by Wu Caixia, Li Fan, Liu Yubo

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Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz by Mohammud Z. Bocus, Afzal Lodhi

Subjects: “…Supervised learning…”
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