Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek by Erkin Isaev, Boobek Ajikeev, Urmatbek Shamyrkanov, Kenjebek-uulu Kalnur, Karimov Maisalbek, Roy C. Sidle

Subjects: Get full text

Learning to Be a Father: How Do We Do It? Isn't there a Manual Somewhere? by Garett D. Evans, Kate Fogarty

“… Learning to be a good father is not for wimps. It takes time, energy, interest, and responsibility. …”
Get full text

Poor hypotheses and research waste in biology: learning from a theory crisis in psychology by Shinichi Nakagawa, David W. Armitage, Tom Froese, Yefeng Yang, Malgorzata Lagisz

Get full text

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi, Maymouna Ez Eddin, Ali Ghrayeb, Haitham Abu-Rub, Shady S. Refaat

“…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”
Get full text

The Relationship Between Consumption Power and GDP Growth in China and Machine Learning Prediction Analysis by Hu Runsong

“…The paper examines the use of machine learning for predicting consumption capacity by integrating various economic models, including Support Vector Regression (SVR) and Long Short-Term Memory Network (LSTM). …”
Get full text

A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

Subjects: Get full text

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…Abstract Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. …”
Get full text

Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

Subjects: Get full text

Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review by Aijing Luo, Wei Chen, Hongtao Zhu, Wenzhao Xie, Xi Chen, Zhenjiang Liu, Zirui Xin

“…In terms of model type, deep learning, represented by convolutional neural networks, was most frequently applied (14/23, 61%). …”
Get full text

Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

Subjects: Get full text

Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction by Yue Peng, Junze Wu, Yi Sun, Yuanxing Zhang, Qiyao Wang, Shuai Shao

“…Here, we introduce a model named Contrastive-learning of Language Embedding and Biological Features (CLEF) leveraging contrastive learning to integrate PLM representations with supplementary biological features. …”
Get full text

Retraction: Post COVID green intellectual capital management with the mediation of organizational learning capability by Frontiers Editorial Office

Get full text

Correction: Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms. by PLOS One Staff

Get full text

Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

Subjects: Get full text

Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning by Ashagrew Liyih, Shegaw Anagaw, Minichel Yibeyin, Yitayal Tehone

Subjects: “…Deep learning approach…”
Get full text

EFFICACY AND ADAPTATION OF E-LEARNING IN INDIAN HIGHER EDUCATION INSTITUTIONS DURING COVID-19 by Jayashree Saha, Papori Baruah

Subjects: “…E-learning…”
Get full text

Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

Subjects: Get full text

Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…In this study, Federated Learning is utilized to improve the security and privacy through empowering nodes to train the model deprived of distribution complex data. …”
Get full text

Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

Subjects: Get full text

Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

“…This study investigates the lightning-induced vulnerability in Bangladesh using Geographic Information Systems (GIS) and Machine Learning (ML) techniques, addressing the limited research in this area. …”
Get full text