Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images by Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN

“…ObjectiveGaps between the electrodes of formation microresistivity imaging (FMI) imagers lead to blank strips in the resistivity images of borehole walls, significantly influencing the parameter assessment for fractures near borehole walls. …”
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Physics-Based Modelling of Plate-Fin Heat Exchangers by Mattia Grespan, Adriano Leonforte, Luigi Calò, Marco Cavazzuti, Diego Angeli

“…The proposed approach is presented and validated through the analysis of a case study comprising several heat exchangers featuring different geometries and working fluids. …”
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Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network by Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le

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Influence of Gaussian noise and Levy noise on the phase dynamics of the ensemble of Kuramoto-like oscillators of first and second order by Arinushkin, Pavel Alekseevich, Kupriyanov, Vladislav Dmitrievich, Vadivasova, Tatjana Evgenevna

“…Numerical experiment has shown that the power grid model is more susceptible to Levy noise due to the noise features associated with random emissions, which in turn can be interpreted as random impulses. …”
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Design and Basic Performance Analysis of a Bionic Finger Soft Actuator with a Dual-Chamber Composite Structure by Yu Cai, Sheng Liu, Dazhong Wang, Shuai Huang, Dong Zhang, Mengyao Shi, Wenqing Dai, Shang Wang

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Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…However, their advanced capabilities come with challenges, including those arising from their stochastic nature, such as parameter tuning and high computational expense. To improve transparency and reproducibility, open-source code sharing, and standardised reporting are recommended to enhance ABM reliability in studying epidemiologically complex diseases like TB.…”
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A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy by Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

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Design of a Microstrip Line Fed SIW Ring Antenna With Sixth-Order Circular Polarized Conical Pattern by Umar Fayyaz, Shahab Ahmad Niazi, Khaled Al-Jaloud, Waqar Ahmad Malik, Abdul Aziz, Rifaqat Hussain, Ali H. Alqahtani, Akram Alomainy

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Hidden social and emotional competencies in autism spectrum disorders captured through the digital lens by Elizabeth B. Torres, Elizabeth B. Torres, Elizabeth B. Torres, Joe Vero, Neel Drain, Richa Rai, Theodoros Bermperidis

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Assessing thermal and hydrodynamic performance of non-Newtonian nano-coolant flow through a porous backward-facing step channel with non-Darcian effects by Zarin Akter, Preetom Nag, Hasina Akter, Md. Mamun Molla, Goutam Saha

“…The flow dynamics are examined within a homogeneous saturated porous substrate placed in a backward-facing step (BFS) channel featuring an expansion ratio of 1:2. The lengths of the upstream and downstream channels, before and after the step of height h, are maintained in a ratio of 6h:30h. …”
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DCS-YOLOv5s: A Lightweight Algorithm for Multi-Target Recognition of Potato Seed Potatoes Based on YOLOv5s by Zhaomei Qiu, Weili Wang, Xin Jin, Fei Wang, Zhitao He, Jiangtao Ji, Shanshan Jin

“…Subsequently, the original YOLOv5s model undergoes a series of enhancements, including the substitution of the conventional convolutional modules in the backbone network with the depth-wise separable convolution DP_Conv module to curtail the model’s parameter count and computational load; the replacement of the original C3 module’s Bottleneck with the GhostBottleneck to render the model more compact; and the integration of the SimAM attention mechanism module to augment the model’s proficiency in capturing features of potato tuber buds and defects, culminating in the DCS-YOLOv5s lightweight model. …”
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A Deep Learning–Based Multimodal F10.7 Prediction with Mamba by Dong Zhao, Fengping Dou, Xueshang Feng, Xin Huang, Sai Ma, Long Xu

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Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations by Boya Zhang, Daniel Gann, Shimon Wdowinski, Chaohao Lin, Erin Hestir, Lukas Lamb-Wotton, Khandker S. Ishtiaq, Kaleb Smith, Yuepeng Li

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Date delivery scheme of delay-tolerant mobile sensor networks for high-voltage power transmission line inspection robot by FAN Fei, WU Gong-ping, WANG Man, XU Qing-shan, CAO Qi, YANG Song

“…This method aims to realize the remote data collection of inspection robot by delay-tolerant mobile sensor networks for inspection robot (DTMSNR), which is featured by nodes heterogeneity, sparse sensor fields, random mobility, intermittent connectivity, and delay tolerance. …”
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Design of a Wave-Shaped Towing Cable for Stable, Low-Drag Acoustic Monitoring in Wave Glider Systems by Tian Yingyuan, Chen Yaxun, Qi Yang, Lv Yunfei, Li Weijia

“…To understand the complex dynamics of the system, a comprehensive hydrodynamic model combining Euler-Lagrange dynamics with computational fluid dynamics was developed. This integrated framework facilitated a systematic investigation of the critical cable parameters for effective drag reduction and suppression of vortex-induced vibrations. …”
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Bayesian Inertia Estimation via Parallel MCMC Hammer in Power Systems by Weidong Zhong, Chun Li, Minghua Chu, Yuanhong Che, Shuyang Zhou, Zhi Wu, Kai Liu

“…The proposed methodology establishes a probabilistic estimation paradigm that systematically combines prior engineering knowledge with real-time measurements, while the Affine-Invariant Ensemble Sampler mechanism overcomes high-dimensional computational barriers through its unique ensemble-based exploration strategy featuring stretch moves and parallel walker coordination. …”
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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

“…Partial Convolution (PConv) is incorporated into the C3k2 module to reduce computational redundancy and lower the model’s computational complexity while maintaining high recognition accuracy. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…They are particularly powerful for tasks involving data recognition, classification, and analysis due to their ability to automatically and adaptively learn spatial hierarchies of features. This research presents a unique machine learning model based fault diagnosis and detection method for a 33 KW solar PV system at P.S.R. …”
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Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

“…By combining electrical signal features with base alignment data and employing a weighted Noisy-OR probability mechanism, pum6a achieves enhanced sensitivity and accuracy in m6A detection, particularly in low-coverage loci. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…As a result of the work done, a mathematical model was obtained that detected heart rate abnormalities specific to COVID-19 with an accuracy of 83 %. The basic features determining the predictive ability of the model were identified and ranked. …”
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