Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…These additions help achieve an initial reduction in model size while preserving detection accuracy. …”
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Graph-Regularized Orthogonal Non-Negative Matrix Factorization with Itakura–Saito (IS) Divergence for Fault Detection by Yabing Liu, Juncheng Wu, Jin Zhang, Man-Fai Leung

“…As an effective dimensionality reduction tool, NMF can decompose complex datasets into non-negative matrices with practical and physical significance, thereby extracting key features of the process. …”
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Optimal design of a hybrid system composed of coagulation process and multi-stage filtration unit for on-site treatment of greywater in rural area by Zahra Akbari, Fereshteh Nourmohammadi Dehbalaei, Zahra Mohammad Hosseini, Seyed Taghi Omid Naeeni

“…Multilayer nonlinear machine learning model was utilized to evaluate the performance of this hybrid system and adaptive heuristic search algorithm was used to achieve the optimal configuration of multilayer sand filter using optimization technique. …”
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Detection of asbestos-based cement rooftops in conflict-affected settings using EnMAP hyperspectral data: a research article by Jonti Evan Shepherd, Elad Sagi, Gal Zagron, Eyal Ben-Dor

“…This integrative workflow combining rigorous field calibration, multi-algorithm spectral filtering, and exhaustive validation, demonstrates that orbit-based hyperspectral data can reliably map asbestos hazards at scale, guiding timely emergency response and long-term remediation in high-risk settings.…”
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Interchangeability of hunts as a factor of sustainability of hunting use by S. P. Matveytchuk, I. A. Grebnev

“…Other undesirable consequences may be a reduction in the social base of hunting in general, as well as an increasing protested or constrained poaching. …”
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On the Minimum Dataset Requirements for Fine-Tuning an Object Detector for Arable Crop Plant Counting: A Case Study on Maize Seedlings by Samuele Bumbaca, Enrico Borgogno-Mondino

“…We also implemented a handcrafted computer graphics algorithm as baseline. Models were tested with varying training sources (in-domain vs. out-of-distribution data), training dataset sizes (10–150 images), and annotation quality levels (10–100%). …”
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Development of An Optimal Low-Noise Voice-Coil Actuator for Precision Motion Control Applications by Suorena Saeedi, Ali Sadighi, Masoud Shariat Panahi

“…The optimal design of VCAs not only contributes to cost reduction in manufacturing and assembly but also results in a more compact size and increased bandwidth, enhancing VCA's overall performance. …”
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A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy by Omneya Attallah

“…Features from all layers of the three CNNs are subsequently incorporated, and the Minimum Redundancy Maximum Relevance (MRMR) algorithm is utilized to determine the most prominent features. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…Experimental results demonstrate a significant reduction in collision rates when utilizing a control policy that integrates multimodal perception, especially in challenging terrains like stairs, thresholds, and mixed surfaces. …”
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Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

“…In general, risk maps provide useful information about geographic areas with high pollution risks and help in decision-making and targeted pollution reduction efforts.…”
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

“…On this basis, the modified adaptive multi-objective particle swarm optimization (AMOPSO) algorithm is proposed, including adaptive flight parameter adjustment and termination mechanisms. …”
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Stochastic Technique on Assigning Adaptive Minimal Code Bits to Locally Frequent Symbols in Continuous Data Stream by Taiki Kato, Shinichi Yamagiwa

“…Through experimental evaluations, we show validity of the technique with describing the algorithm. The experimental evaluations show improvements up to 17% better compression ratios due to the instant response to the locally frequent symbols.…”
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Winemaking terroir – the guideline for choosing of grape rootstocks for soils with different characteristics by А. А. Averianov, E. D. Androsova, A. V. Rusakov

“…The aim was to create an algorithm for selecting varieties based on local terroir factors and apply it to the design of vineyards. …”
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A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation by Stoyan Dimitrov Slavov, Georgi Venelinov Valchev

“…The results obtained from the proposed GMM based algorithm applied on compressed RMS accelerations signals is compared with two other methods, i.e., Short-Time Fourier Transforms and Continuous Wavelet Transform. …”
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A Novel NSGA-III-GKM++ Framework for Multi-Objective Cloud Resource Brokerage Optimization by Ahmed Yosreddin Samti, Ines Ben Jaafar, Issam Nouaouri, Patrick Hirsch

“…The results indicate a 20% reduction in the response time, 15% lower energy consumption, and a 25% increase in the broker’s profit, validating its effectiveness in real-world deployments. …”
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Enhancing precision flood mapping: Pahang's vulnerability unveiled. by Tahmina Afrose Keya, Siventhiran S Balakrishnan, Maheswaran Solayappan, Saravana Selvan Dheena Dhayalan, Sreeramanan Subramaniam, Low Jun An, Anthony Leela, Kevin Fernandez, Prahan Kumar, A Lokeshmaran, Abhijit Vinodrao Boratne, Mohd Tajuddin Abdullah

“…The objective of the research was to create a flood susceptibility map for the designated area by employing an Ensemble Machine Learning (EML) algorithm based on geographic information system (GIS). …”
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EFFECT OF PHASE-SHIFT INTERFERENCE ON THE NOISE IMMUNITY OF CORRELATION DEMODULATOR OF SIGNALS WITH MULTIPLE PHASE SHIFT KEYING by Gennady V. Kulikov, Van Dung Nguyen, Trung Tien Do

“…This decrease seems natural, since the analyzed algorithm for receiving MPSK signals is optimal for the effects of noise interference.…”
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Research on downhole drilling target detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…The results indicate that compared with the original model, the improved model achieves a 14% reduction in model storage size and a 17% decrease in the number of parameters. …”
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Facial expression morphing: enhancing visual fidelity and preserving facial details in CycleGAN-based expression synthesis by Chayanon Sub-r-pa, Rung-Ching Chen, Ming-Zhong Fan

“…To address this issue, we introduce the Facial Expression Morphing (FEM) algorithm, a novel post-processing method designed to enhance the visual fidelity of CycleGAN-based outputs. …”
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Investigating the effects of plasma-activated water on E. coli with the novel application of single-cell impedance flow cytometry by Brayden Myers, Rita Agus, Bilal Bouharrak, Fabio Avino, Ivo Furno

“…After signal calibration with stationary-phase E. coli and a three-shell dielectric model, a sensitivity analysis and genetic algorithm were used to find the relevant subcellular dielectric parameters. …”
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