On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. …”
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Risk management in biobanking by A. L. Borisova, M. S. Pokrovskaya, A. N. Meshkov, A. V. Kontsevaya, O. M. Drapkina

“…The article presents the biobanking risk classification with the description of each category.Aim. …”
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Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference by Bowen Song, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Tatsuya Akutsu

“…Abstract Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular inference. …”
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BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge by Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli

“…In downstream disease and tissue classification tasks, our synthetic data improves prediction performance by an average of 5.7%. …”
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Study on Comprehensive Benefit Evaluation of Rural Houses with an Additional Sunroom in Cold Areas—A Case Study of Hebei Province, China by Xinyu Zhu, Tiantian Duan, Yang Yang, Chaohong Wang

“…To address the issues of poor thermal performance and high energy consumption in rural dwellings in cold regions of China, this study investigates multi-type energy-efficient retrofitting strategies for rural houses in the Hebei–Tianjin region. …”
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Telemedicine in China: Effective indicators of telemedicine platforms for promoting health and well-being among healthcare consumers by Xiaogang Jin, Youwei Yuan, Chaoqi Chang, Xianqing Wu, Xu Tan, Zhengqing Liu

“…Objective Telemedicine platforms played a crucial role during the COVID-19 pandemic, alleviating issues related to the shortage and unequal distribution of healthcare resources. …”
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Fish feeding behavior recognition via lightweight two stage network and satiety experiments by Shilong Zhao, Kewei Cai, Yanbin Dong, Guanbo Feng, Yuqing Wang, Hongshuai Pang, Ying Liu

“…However, current research still faces three major issues: qualitative labels lead to models that produce only qualitative outputs; redundant information in images causes interference; and the high complexity of models hinders real-time application. …”
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Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics by Kasumi Ohno, Kohei Makino, Makoto Miwa, Yutaka Sasaki

“…To address these issues with TSG simultaneously, we propose a novel generative model, AVC-GAN. …”
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N.I. Vorobyev and his role in the formation of academic Tatar studies in Russian ethnology by Svetlana V. Suslova

“…It was also manifested in the application of typological approaches to the classification of ethnographic material, which allowed him to present stable varieties of material culture (types) in dynamics, to outline analogues for them in other neighbouring and distant ethnic groups of Eurasia, and thereby to resolve a number of issues related to the cultural genesis of the people. …”
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Reinforcement Learning-Based Real-Time Contrasts Control Chart Using an Adaptive Window Size by Kyuchang Chang, Seung Hwan Park

“…The traditional RTC control chart offers a promising approach to process monitoring by transforming the monitoring problem into a real-time classification task, enabling more timely and accurate detection of issues. …”
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Forecasting of Turkish Sovereign Sukuk Prices Using Artificial Neural Network Model by Dilşad Tülgen Çetin, Sedat Metlek

“…For this purpose, a multi-layer feed forward artificial neural network model is designed using dollar-based international sovereign sukuk price data issued by the Turkish Ministry of Treasury and Finance. …”
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Federated two-stage transformer-based network for intrusion detection in non-IID data of controller area networks by Yuan Zhang, Jiaru Song, Yongxiong Sun, Zhanheng Gao, Zhe Hu, Minghui Sun

“…The subsequent stage is a multi-class classifier, which is employed for the classification of attack types. The entire architecture is based on an Encoder-only Transformer network with a multi-head self-attention mechanism. …”
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Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis by Haihua Ying, Andri Pranolo, Zalik Nuryana, Andini Isti Syafitri

“…AI-based approaches have demonstrated accurate classification outcomes, providing potential alternatives to time-consuming and non-ecological conventional evaluations. …”
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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…An Extra Trees Classifier was trained to perform binary classification of project success deemed as primary indicators, evaluating performance through accuracy, precision, recall, F1 score, log loss, and MSE. …”
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Atmospheric Modeling for Wildfire Prediction by Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish

“…Our study focuses on developing wildfire prediction models using one-class classification algorithms. These include Support Vector Machine, Isolation Forest, AutoEncoder, Variational AutoEncoder, Deep Support Vector Data Description, and Adversarially Learned Anomaly Detection. …”
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Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…This study employs data mining techniques to address the issues of low adaptability and low recognition rate in the intelligent gear decision of vehicle automatic transmission systems. …”
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Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images by Zihan Zhang, Yang Wang, Nan Lin, Shengtao Ren

“…Machine vision-based inspection methods have emerged as a key solution to these issues. Despite this, the method also encounters the problem of scarcity of defect samples and uneven data distribution in gas pipeline defect detection. …”
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Superfoods: exploring sustainability perspectives between nutrient synthesizers and accumulators by G. Santunione, G. Montevecchi, G. Montevecchi

“…This perspective explores sustainability of “superfoods” by proposing a new classification system, dividing them into “synthesizers” and “accumulators” based on their origin. …”
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Incorporation of Phase Change Materials in Buildings by Subodh Kumar Jha, Advaith Sankar, Yue Zhou, Aritra Ghosh

“…This paper also delves into the detailed concepts of PCMs, including their classification and various applications within building insulation. …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…In perspective, the advancements may include increasing the size of the annotated data-set and fine-tuning the model due to detection issues of non-solitary nodules.…”
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