How long is too long? Examining waiting times and stress in human-elevator interaction by Masahiro Shiomi, Masayuki Kakio, Takahiro Miyashita

“…Reducing both is crucial for enhancing the user experience. For this purpose, researchers have focused on two approaches: such technological schemes as sophisticated elevator control algorithms for minimizing the actual waiting times, and such cognitive approaches as positioning mirrors that divert users’ attention for reducing the perceived waiting times. …”
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Exploring machine learning approaches for precipitation downscaling by Honglin Zhu, Qiming Zhou, Jukka M. Krisp

“…This study emphasized the importance of generating high-resolution precipitation, systematically evaluated the strengths and limitations of ML-based methods, aiming to identify existing research gaps and potential inconsistencies with previous studies, and ultimately highlighted future research trends and challenges.…”
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The Value of Biomarkers in the Diagnosis and Prognosis of Heart Failure in Older Age by V. N. Larina, V. I. Lunev

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Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

“…This research examines the mechanical characteristics of polymer composites (PMMA) that are reinforced with Hydroxyapatite (HAp), with a particular emphasis on the Elastic Modulus and Compressive Strength. …”
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Preset Conditional Generative Adversarial Network for Massive MIMO Detection by Yongzhi Yu, Shiqi Zhang, Jiadong Shang, Ping Wang

“…In recent years, extensive research has been conducted to obtain better detection performance by combining massive multiple-input multiple-output (MIMO) signal detection with deep neural network (DNN). …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Classification of six species named Tursiops truncatus, Delphinus delphis, Peponocephala electra, Grampus griseus, Stenella longirostris, and Stenella attenuate are targeted in this research. The proposed model achieved 90.4% accuracy on 70–30% training testing and 89.6% on 5-fold cross-validation experiments.…”
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Component-Element Composition of National Economy Forecasting and Planning Methodology by Yu. I. Busheneva

“…The obtained results of the study made it possible to single out such components of the methodology as the foundations, order, methods, results, monitoring of forecast and planned work; the elements of the methodology were typologized principles, approaches, logic, actions, algorithms, typologies, methods, technologies, parameters, indicators, documents, document systems, audit and adjustment. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

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Nursing Educators’ Perspectives on the Integration of Artificial Intelligence Into Academic Settings by Moustaq Karim Khan Rony MSS, MPH, RN, Sumon Ahmad MPH, RN, Sabren Mukta Tanha MPH, RN, Dipak Chandra Das MSS, Mosammat Ruma Akter MSN, RN, Mst. Amena Khatun MPH, RN, Most. Hasina Begum MSN, RN, Md Ibrahim Khalil MSS, RN, Umme Rabeya Peu MSS, RN, Mst. Rina Parvin BSN, RN, Daifallah M Alrazeeni PhD, Fazila Akter MSc, RN

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Characterization of immune microenvironment associated with medulloblastoma metastasis based on explainable machine learning by Fengmao Zhao, Xiangjun Liu, Jingang Gui, Hailang Sun, Nan Zhang, Yun Peng, Ming Ge, Wei Wang

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Potential applications of gene expression profiles obtained from circulating extracellular vesicles in breast cancer by Aritra Gupta, Siddharth Bhardwaj, Sayan Ghorai, Rosina Ahmed, Sanjit Agarwal, Geetashree Mukherjee, Kartiki V. Desai

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A review of lightweight convolutional neural networks for ultrasound signal classification by Bokun Zhang, Zhengping Li, Yuwen Hao, Lijun Wang, Xiaoxue Li, Yuan Yao

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A Sliding Mode Controller for Prediction of the Maximum Power Point Tracking of Hybrid Renewable Sources by Sydykbaev Zhenis, Ghassan Kasim Al_Lami, Shaymaa Abed Hussein, Karrar Shareef Mohsen, Ahmed Abdulkhudher Jassim, Sura Khalil Ibrahim, Khudr Bary Freeh Alsrray, Zahraa N. Abdulhussain

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Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making by Hendra Hendra, Mustafa Mat Deris, Ika Safitri Windiarti

“…Reducing bias within these datasets is essential to enhance the fairness and accuracy of the models and algorithms they support. Research on mental health classification using machine learning techniques, particularly PCA and logistic regression, is significant because it has the potential to improve decision-making in mental health care.…”
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Resilient Multi-Dimensional Consensus and Containment Control of Multi-UAV Networks in Adversarial Environments by Peng Zhang, Zhenghua Liu, Kai Li, Sentang Wu, Lianhe Luo

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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

“…Summary: Deep learning holds great promise in drug discovery, yet its application is hindered by high labeling costs and limited datasets. Developing algorithms that effectively learn from sparsely labeled data is crucial. …”
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Application of critical way to time constructing the shortest paths in the transport network in the conditions of interval uncertainty by Ramiz Aliyev Gasumov, Sulhaddin Kamal Gozalov

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Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity by Tao Yin, Peihong Ma, Zilei Tian, Kunnan Xie, Zhaoxuan He, Ruirui Sun, Fang Zeng

“…This review is aimed at providing an overview of this rapidly growing field by introducing the commonly used ML algorithms in neuroimaging studies briefly and analyzing the characteristics of the acupuncture studies based on ML and neuroimaging, so as to provide references for future research.…”
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Radiomic Analysis of Contrast‐Enhanced CT Predicts Recompensation in Hepatitis B‐Related Decompensated Cirrhosis by Qiaofeng Chen, Yuanping Fan, Kaini Wu, Tianpan Cai, Chunyu Lan, Mingju Yu, Yunfeng Fu, Qi Zhu, Jianhao Qiu, Xiaodong Zhou

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Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destination Earth by Mikko Strahlendorff, Anni Kröger, Golda Prakasam, Miriam Kosmale, Mikko Moisander, Heikki Ovaskainen, Asko Poikela

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