The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…Well-known scientist in the field of Informatics Brian Randall, speaking at a conference, said: “I remember Doug Ross from Soft Tech Company, many years ago saying that 80 or even 90% of computer science in the future will be based on the theory of finite automata”. …”
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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

“…(Coleoptera: Curculionidae), is an economically important pest of soft fruit and ornamental crops globally. Its management has historically relied on broad-spectrum synthetic insecticides, but this has shifted toward integrated pest management compatible methods such as entomopathogenic nematodes and fungi that target soil-dwelling larvae. …”
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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…After the loquat flesh was freshly cut, it was placed in a simple soft light photographic light box with fixed light source and temperature. …”
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A novel MCDM method for assessing student employability psychology using complex Pythagorean hesitant fuzzy Sugeno Weber aggregation by Xiao He

“…Then, we established the MCDM algorithm approach based on CPyHFS and briefly discussed a case study of MSPE. …”
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SABO-Optimized VMD for Seismic Damage Assessment of Frame Structures Considering Soil–Structure Interaction by Jian Zhou, Yaokang Zhang, Hehe Wang, Jinping Yang, Peizhen Li, Jingxia Wang

“…The core innovation is the application of the Subtraction Average-Based Optimizer (SABO) algorithm, coupled with permutation entropy as the fitness function, to optimize the critical VMD parameters. …”
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Dynamic Virtual Simulation with Real-Time Haptic Feedback for Robotic Internal Mammary Artery Harvesting by Shuo Wang, Tong Ren, Nan Cheng, Rong Wang, Li Zhang

“…Our key innovations include a topology-preserving cutting algorithm, a bidirectional tissue coupling mechanism, and dual-channel haptic feedback for electrocautery simulation. …”
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Development of Control Technology for Bypass Flue Gas Drying Tower of Coal-Fired Power Plant by Wenxin WANG, Yi GAO, Chunhong LIU, Xiaozhong TONG, Biao CHEN, Zhifu QI, Qin ZHANG

“…At the same time, the accurate control technology based on energy balance and the soft sensing model based on key parameters are both implemented to backup each other, such that the goal of high efficiency and low energy consumption drying of desulphurization wastewater is achieved. …”
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Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN by Fangzhou Chu, Jiakuan Ma, Yang Luan, Shilin Chen

“…To address the complex pile–soil interaction mechanisms in predicting the compressive bearing capacity of HSCM piles (Helix Stiffened Cement Mixing piles) in marine soft soil regions, this study proposes an intelligent prediction method based on a GA-BPNN (Genetic Algorithm-Optimized Back Propagation Neural Network). …”
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Application of SPAC method in dividing strata of the Quaternary strata by LI Baochun, SUN Shaohuai, LI Guoping

“…Compared with models with the Low-Velocity Soft Layer Model， the High-Velocity Hard Layer Model， and the Velocity-Increasing Model， the Forking Genetic Algorithm fGA has the advantage of not relying on the initial model for inverting dispersion curves.ResultsTaking the measured data from a certain location on the northern edge of the North China Craton as an example， it used the SPAC， transient Rayleigh surface wave， and wave velocity logging methods to invert the S-wave velocity structure. …”
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End-to-end design of multicolor scintillators for enhanced energy resolution in X-ray imaging by Seokhwan Min, Seou Choi, Simo Pajovic, Sachin Vaidya, Nicholas Rivera, Shanhui Fan, Marin Soljačić, Charles Roques-Carmes

“…We apply our framework to medical phantom imaging simulations where we demonstrate that it can effectively differentiate iodine and gadolinium-based contrast agents from bone, muscle, and soft tissue.…”
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Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation by Jian Teng, Jian Teng, Sukyoung Cho, Shaw-mung Lee

“…The system employs e-Sense attention thresholds (>80% for 300 ms) to trigger virtual hand activation combined with gaze-driven targeting within 45° visual cones. A soft maximum weighted arbitration algorithm resolves spatiotemporal conflicts between manual and virtual inputs with 92.4% success rate. …”
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A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques by Heba M. Emara, Walid El-Shafai, Naglaa F. Soliman, Abeer D. Algarni, Reem Alkanhel, Fathi E. Abd El-Samie

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Robust Forward-Looking Sonar-Image Mosaicking Without External Sensors for Autonomous Deep-Sea Mining by Xinran Liu, Jianmin Yang, Changyu Lu, Enhua Zhang, Wenhao Xu

“…For image fusion, a radial adaptive fusion algorithm with a protective frame is proposed to improve edge transitions and preserve structural consistency in the resulting panoramic image. …”
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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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