Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis by Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang

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Increasing the degree of acceptability for chatbots in technical support systems for educational sector by using ML and semantic web by Adel A. Bahaddad

“…Work on digital transformation is one of the main features of the fourth economic revolution, which tends to benefit from technology in various aspects of life. The Machine Learning (ML), Semantic Learning (SL), and Deep learning (DL) and dealing with robots are the most prominent features and widespread aspects. …”
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Identification and validation of parthanatos-related genes in end-stage renal disease by Xuan Dai, Lianfang Yuan

“…Two machine learning algorithms identified candidate genes, refined through ROC analysis. …”
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The effects of limb position and grasped load on hand gesture classification using electromyography, force myography, and their combination. by Peyton R Young, Kihun Hong, Eden J Winslow, Giancarlo K Sagastume, Marcus A Battraw, Richard S Whittle, Jonathon S Schofield

“…While being well established in consumer, clinical, and research applications, this technique suffers from misclassification errors caused by limb movements and the weight of manipulated objects, both vital aspects of how we use our hands in daily life. An emerging alternative control technique is force myography (FMG) which uses pattern recognition algorithms to predict hand gestures from the axial forces present at the skin's surface created by contractions of the underlying muscles. …”
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

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Interstitial lung diseases: a view on the problem by O. G. Sych, Y. O. Dziublyk, T. F. Liubarets

“…Conclusions.The literature data presented in the review indicate the need to standardize algorithms for the diagnosis and treatment of ILD, which will ensure the provision of full medical care, improve the quality and extend the life expectancy of this category of patients. …”
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Teenagers on TikTok: Play, Mimesis, and “Digital Authority” by N.K. Radina

“…</em> It turned out that some of the viral videos contain topics typical for teenagers &ndash; about school life, exams, videos demonstrating repetition games, etc. …”
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Comparative Study of Adaptive <i>l</i>₁-Regularization for the Application of Structural Damage Diagnosis Under Seismic Excitation by Weilin Wu, Junfang Wang, Jianfu Lin, Xuanyu Liu

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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

“…Furthermore, periodontitis often culminates in tooth loss, affecting overall health and the quality of life, particularly in aging populations. Early intervention and accurate prediction of tooth loss are crucial for improving oral health outcomes. …”
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Diagnosis and activity prediction of SLE based on serum Raman spectroscopy combined with a two-branch Bayesian network by Qianxi Xu, Qianxi Xu, Qianxi Xu, Xue Wu, Xue Wu, Xue Wu, Xinya Chen, Ziyang Zhang, Jinrun Wang, Jinrun Wang, Zhengfang Li, Zhengfang Li, Zhengfang Li, Xiaomei Chen, Xiaomei Chen, Xiaomei Chen, Xin Lei, Xin Lei, Zhuoyu Li, Zhuoyu Li, Zhuoyu Li, Mengsi Ma, Mengsi Ma, Mengsi Ma, Chen Chen, Lijun Wu, Lijun Wu

“…In severe cases, it can even be life-threatening. It has been demonstrated that prompt diagnosis and treatment are crucial for improving patient outcomes. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

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Applications of Artificial Intelligence in Drug Repurposing by Zhaoman Wan, Xinran Sun, Yi Li, Tianyao Chu, Xueyu Hao, Yang Cao, Peng Zhang

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Mordo2: A Personalization Framework for Silent Command Recognition by Chunzhi Yi, Baichun Wei, Jianfei Zhu, Changbing Chen, Yuefan Wang, Zhiyuan Chen, Yifan Huang, Feng Jiang

“…Wearable human-computer interactions in daily life are increasingly encouraged by the prevalence of intelligent wearables. …”
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Optical Characterization of Coastal Waters with Atmospheric Correction Errors: Insights from SGLI and AERONET-OC by Hiroto Higa, Masataka Muto, Salem Ibrahim Salem, Hiroshi Kobayashi, Joji Ishizaka, Kazunori Ogata, Mitsuhiro Toratani, Kuniaki Takahashi, Fabrice Maupin, Stephane Victori

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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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A survey of GNSS receiver autonomous integrity monitoring: Research status and opportunities by Zhen Huang, Zhen Huang, Weihua Mou, Weihua Mou, Rui Wang, Pengpeng Li, Pengpeng Li, Zhicheng Lyu, Zhicheng Lyu, Gang Ou, Gang Ou

“…Integrity monitoring is crucial in applications closely related to the safety of human life and property, such as aviation, maritime navigation, autonomous driving, and rail transportation. …”
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Predictive value of machine learning model based on CT values for urinary tract infection stones by Jiaxin Li, Yao Du, Gaoming Huang, Chiyu Zhang, Zhenfeng Ye, Jinghui Zhong, Xiaoqing Xi, Yawei Huang

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Augmented intelligence with voice assistance and automated machine learning in Industry 5.0 by Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben

“…However, existing research works on voice assistants relies on knowledge management and simulation methods instead of data-driven algorithms. In addition, practical application and evaluation in real-life scenarios are scarce and limited in scope. …”
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A Review of the Performance of Smart Lawnmower Development: Theoretical and Practical Implications by Elwin Nesan Selvanesan, Kia Wai Liew, Chai Hua Tay, Jian Ai Yeow, Yu Jin Ng, Peng Lean Chong, Chun Quan Kang

“…Smart lawnmowers are becoming increasingly integrated into daily life as their performance continues to improve. To ensure consistent advancement, it is important to conduct a comprehensive analysis of the performance of various modern smart lawnmowers. …”
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A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling by Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar, Mikko Nelo, Jani Peräntie, Yang Bai

“…Using upside-down composites to recycle retired/discarded piezoceramics and then give them a second life in sensor applications paves the way towards sustainable production of piezoelectric materials. …”
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