Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield by Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake

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A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks by Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady

“…Inspired by recent achievements in deep reinforcement learning (DRL) to solve problems with large action sets, we propose SMART, a dynamic scheduler for massive MIMO based on the state-of-the-art Soft Actor-Critic (SAC) DRL model and the K-Nearest Neighbors (KNN) algorithm. …”
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Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53. by Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, Dawn Walker

“…The centre-based mechanical model represents the properties of these agents as physical objects, describing how they repel each other as soft spheres. By implementing a stochastic simulation algorithm on modern GPUs, we simulated the dynamics of over one million neuroblastoma cells over a period of months. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…Through the db4 basis function of multi-scale decomposition of microcrack features, the soft threshold function is constructed to deeply denoise the image. …”
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Arthroscopic Lateral Ulnar Collateral Ligament Plication/Reconstruction With Augmented Lateral Collateral Ligament Imbrication by Christos Koukos, M.D., Dominique Schoeps, M.D., Joachim Windolf, M.D., In-Ho Jeon, PhD, M.D., Cristina Zolog, M.D., Konstantinos Ditsios, PhD., M.D., David Latz, M.D.

“…Arthroscopic approaches offer a less-invasive alternative with reduced soft-tissue damage and faster recovery. This Technical Note presents an algorithm-driven, arthroscopically assisted technique for PLRI treatment. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…This study introduces an optimized Light Gradient-Boosting Machine (Light GBM) and K-Nearest Neighbour (KNN) based ensemble algorithm for predicting diabetic progression of Type 2 Diabetes, classifying it as high or low risk, using patient health parameters and serum measurements. …”
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Ensemble Machine Learning Classifiers Combining CT Radiomics and Clinical-Radiological Features for Preoperative Prediction of Pathological Invasiveness in Lung Adenocarcinoma Pres... by Yunhua Li BS, Jianbang Ding MS, Kun Wu MS, Wanyin Qi BS, Shanyue Lin BS, Gangwen Chen BS, Zhichao Zuo PhD

“…We systematically evaluated both single-algorithm classifiers and ensemble approaches (including hard/soft voting and stacking), incorporating both the radiomic score and clinical-radiological features. …”
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The analysis of impact of irregularity in radionuclide coating of scaffold on the distribution of absorbed dose produced by grid of microsources by N. A. Nerosin, A. P. Pyshko, V. V. Shapovalov, A. A. Goverdovskiy

“…On engineering software MATHCAD the program for calculation of absorbed dose produced by grid of microsources was created. To verify this algorithm the calculation model for MCNP code was established and represented the area consisted of soft biological tissue or any other tissue in which the grid of microsources was incorporated. …”
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Design and Experimental Study of Dual-spool Incremental High-water-based Digital Valve by He ZHANG, Jiyun ZHAO, Yunfei WANG, Ge WANG

“…A simulation of the electro-mechanical converter is conducted using sliding mode control, and the simulation results indicate that the sliding mode control algorithm stably follows the reference signal in 0.08 s, performing significantly better in response performance than PID. …”
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Online Modelling and Calculation for Operating Temperature of Silicon-Based PV Modules Based on BP-ANN by Honglu Zhu, Weiwei Lian, Lingxing Lu, Peter Kamunyu, Cao Yu, Songyuan Dai, Yang Hu

“…The proposed method is effective to calculate the operating temperature of silicon-based solar modules online, which is a low-cost soft-sensing solution.…”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments by Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee

“…In this context, advancements in deep learning, particularly through detection models and modern tracking algorithms, have opened new avenues for addressing the challenges posed by real-time laparoscopic instrument tracking. …”
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Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis by Younghyun Lee, Hakseung Rhee, Geunyoung Kim, Woon Hyung Cheong, Do Hoon Kim, Hanchan Song, Sooyeon Narie Kay, Jongwon Lee, Kyung Min Kim

“…Then, we design a neural network training algorithm through hardware-aware approaches and conduct real-time edge ECG diagnosis. …”
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CLINICAL PRESENTATION FEATURES IN THE ORAL CAVITY PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE by O.P. Kerzyuk, N.M. Rozhko, A.V. Kindrat

“…The prospect of our further research will be to develop an algorithm for diagnosis and treatment of oral GERD manifestations and secondary dental disease prevention. …”
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Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning by Xiaojie Li, Chunliang Jiang, Qingyan Xie, Huiquan Wang, Jiameng Xu, Guanjun Liu, Panpan Chang, Guang Zhang

“…Our study enrolled 427 patients with 498 treatment records. The soft-voting ensemble algorithm achieved an optimal predictive performance with an AUC of 0.839 (95% CI 0.786–0.889) for the all-features model, while logistic regression using common features achieved an AUC of 0.767 (95% CI 0.704–0.825), outperforming ROX and mROX indices. …”
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Organizational problems and possible ways of its resolve when providing emergency surgical care to patients with comorbid status in a highly specialized medical institution by I. M. Khokhlova, V. B. Kozhevnikov, K. N. Movchan, B. S. Artyushin, E. V. Bartashevich, A. V. Zharkov, E. V. Zheleznyi

“…Petersburg were studied, in which the main activity of the staff is the examination of patients with surgical infection of soft tissues (particularly, the critical limb ischemia).Results. …”
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A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

“…The proposed Hard voting model improved accuracy and robustness of final prediction compared to a Soft voting classifier. The proposed model obtained an accuracy of 100 % when compared with the typical Yolk index method. …”
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All-printed chip-less wearable neuromorphic system for multimodal physicochemical health monitoring by Yongsuk Choi, Peng Jin, Sanghyun Lee, Yu Song, Roland Yingjie Tay, Gwangmook Kim, Jounghyun Yoo, Hong Han, Jeonghee Yeom, Jeong Ho Cho, Dong-Hwan Kim, Wei Gao

“…By leveraging scalable printing technology, we fabricated artificial synapses that function as both sensors and analog processing units, integrating them alongside printed synaptic nodes into a compact wearable system embedded with a medical diagnostic algorithm for multimodal data processing and decision making. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

“…This may be addressed by developing an identification algorithm for adult weevils. Here we present results that show improved machine learning models can identify adult vine weevils under laboratory and semi-field conditions. …”
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Preventing Overturning of Mobile Cranes Using an Electrical Resistivity Measurement System by Hongseok Jang, Yeonho Lee, Hongseok Lee, Youngtaek Cha, Sungjoon Choi, Jongkyu Park

“…Furthermore, it uses a ground stability determination algorithm that qualitatively assesses soft ground conditions, which are the primary cause of ground subsidence. …”
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