Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

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A Comprehensive Review on Next-Generation Modeling and Optimization for Semiconductor Devices by Pratikhya Raut, Deepak Kumar Panda, Amit Kumar Goyal

“…In response to these improvements, machine learning-assisted compact modelling (MLCM) has garnered considerable attention as an alternative to conventional white-box modelling. …”
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Review Study about Portable and Wearable Artificial Kidney Systems by Fanar Aljanabi, Hassanain Ali Hussein Lafta

“…A review of the critical methods utilized in the creation and application of a portable dialysis machine that resembles the traditional dialysis center devices was conducted using a number of prior studies (research conducted between 2009 and 2024); the goal of all studies was to create a device that consists of filtering system, detection system to ensure there is no blood leakage and all parameters are within the acceptable limits, alarm system, and dialysate regeneration system, and each method will be described precisely in this review. …”
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An Adaptive Weight Collaborative Driving Strategy Based on Stackelberg Game Theory by Zhongjin Zhou, Jingbo Zhao, Jianfeng Zheng, Haimei Liu

“…The results indicate that the human–machine collaborative control strategy can effectively mitigate conflicts between humans and machines. …”
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A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

“…Then, a hybrid optimization algorithm is detailed, which can achieve efficient and accurate updating of the parameters of the network and mechanistic equations. …”
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Deep Learning-Enhanced Motor Training: A Hybrid VR and Exoskeleton System for Cognitive–Motor Rehabilitation by Kathya P. Acuña Luna, Edgar Rafael Hernandez-Rios, Victor Valencia, Carlos Trenado, Christian Peñaloza

“…This research explored the integration of the real-time machine learning classification of motor imagery data with a brain–machine interface, leveraging prefabricated exoskeletons and an EEG headset integrated with virtual reality (VR). …”
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Axial Capacity Estimation of FRP-strengthened Corroded Concrete Columns by Chandan Gupta, Harish Arora, Aman Kumar, Prashant Kumar, Nishant Raj Kapoor, Madhu Sharma

“…This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites. …”
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Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

“…Multispectral data was extracted by signal approximation with Cauchy distribution function (M1) and first-order descriptive parameters (M2). Support vector machine (SVM) was used and the hyperparameters were optimized to maximize model performance. …”
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Using Wearable Sensors for Sex Classification and Age Estimation from Walking Patterns by Rizvan Jawad Ruhan, Tahsin Wahid, Ashikur Rahman, Abderrahmane Leshob, Raqeebir Rab

“…Hence, the focus of researchers in this field has exhibited a paradigm shift to a broader problem of sex and age prediction using different biometric parameters—with gait analysis obviously being one of them. …”
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A real-time AI tool for hybrid learning recommendation in education: Preliminary results by Chaman Verma

“…This study created an innovative AI tool utilizing the Support Vector Machine (SVM) algorithm on primary samples of Hungarian informatics students to assess their suitability for adopting hybrid learning in their studies. …”
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Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker by Xiang Fang, Eric Song, Cheng Ning, Huseyn Huseynov, Tarek Saadawi

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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

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Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data by Francisco Zambrano, Abel Herrera, Mauricio Olguín, Miro Miranda, Jesica Garrido, Andrea Miyasaka Almeida

“…Also, we used as predictors spectral vegetation indices (VIs) and biophysical parameters derived from Sentinel-2. We compared two schemes, one for estimation and another for prediction. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…The central thrust of this investigation involves the systematic creation of machine learning (ML) paradigms for the robust prediction of choke flow performance. …”
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Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence by Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, Mohammad Osama Zia, Rakib Hasan, Md. Rakibul Islam, Md. Shohidul Islam, Md Shahariar Alam, Md. Khairul Islam

“…Comparative analysis with other machine learning models highlighted the superior performance of the ensemble approach. …”
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Quality assurance of hyperspectral imaging systems for neural network supported plant phenotyping by Justus Detring, Abel Barreto, Anne-Katrin Mahlein, Stefan Paulus

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Mean limiting pressure factors determination in contiguous pile walls using RAFELA and nonlinear regression models in spatially random soil by Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, Suraparb Keawsawasvong

“…This study employs random adaptive finite element limit analysis (RAFELA) combined with advanced machine learning (ML) techniques to predict the mean limiting pressure factor in contiguous pile walls (CPWs). …”
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Alleviating small sample problem in continuous forest monitoring with remote sensing-assisted Copulas by Xinjie Cheng, Zhengyang Hou, Annika Kangas, Jean-Pierre Renaud, Hao Tang, Weisheng Zeng, Qing Xu

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Using Key Predictors in an SVM Model for Differentiating Spinal Fractures and Herniated Intervertebral Discs in Preoperative Anesthesia Evaluation by Shih-Ying Yang, Shih-Yen Hsu, Yi-Kai Su, Nan-Han Lu, Kuo-Ying Liu, Tai-Been Chen, Kon-Ning Chiu, Yung-Hui Huang, Li-Ren Yeh

“…Future work could enhance model performance by incorporating additional clinical parameters relevant to preoperative anesthesia evaluation.…”
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Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

“…For the first time in Russia, a machine learning model based on high-resolution esophageal manometry data was developed at the V. …”
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