Unsupervised Classification for Circulating Tumor Cells by Ling An, Haibo Hu, Mengke Song, Lin Cheng, Shuo Ba, Zhaocong Liu, Zhuohang Yu, Zhenyu Zhang, Yi Liu, Chichun Zhou

“…It also enhances the efficiency of deep learning in medical diagnostics, particularly in CTC detection.…”
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A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

“…The primary objective is to enhance the efficiency and reliability of the renewable energy system through predictive modeling and advanced fault detection techniques. …”
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Evaluation of Effectiveness of a New Kit of Reagents for Detection of Mutations Associated with Drug Resistance of Tuberculous Mycobacteria to Rifampicin and Isoniazid, by PCR acco... by Yu. L. Mikulovich, Yu. A. Savochkina, A. I. Zaytseva, A. E. Panova, A. S. Vinokurov, G. A. Shipulin

“…Efficiency of detecting mutations associated with MTB resistance to RIF and INH using the new kit of reagent of AmpliTest® MBT-Resist-I was evaluated in comparison with HP Amplitube-MDR-RV (OOO Sintol, Russia). …”
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Intelligent beehive monitoring system based on internet of things and colony state analysis by Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun

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Personalized Drug Recommendation System Using Wasserstein Auto-encoders and Adverse Drug Reaction Detection with Weighted Feed Forward Neural Network (WAES-ADR) in Healthcare by J Omana, P. N Jeipratha, K Devi, S Benila, K Revathi

“…This study intends to improvise the precision and efficiency of drug recommendation systems while also improving patient safety by combining WAEs and early ADR detection strategies. …”
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Pre-Filtering SCADA Data for Enhanced Machine Learning-Based Multivariate Power Estimation in Wind Turbines by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Haoxuan Luo

“…Therefore, developing efficient filtering methods is crucial to improving data quality and model performance. …”
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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models by Yabei Di, Jinlong Yu, Huaping Luo, Huaiyu Liu, Lei Kang, Yuesen Tong

“…The outdoor spectral detection of winter jujube quality is affected by complex ambient light and surface heterogeneity, resulting in limited inversion accuracy. …”
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A Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems by Kazushi Adachi, Samir Khan, Shinichi Nakasuka, Kohji Tominaga, Seiji Tsutsumi, Yu Daimon, Taiichi Nagata

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Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares by Yongze Li, Jin Ma, Dongyang Fu, Jiajun Yuan, Dazhao Liu

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XAIEnsembleTL-IoV: A new eXplainable Artificial Intelligence ensemble transfer learning for zero-day botnet attack detection in the Internet of Vehicles by Yakub Kayode Saheed, Joshua Ebere Chukwuere

“…This research addresses the growing challenge of detecting zero-day botnet attacks within the IoV, a complex network that enhances real-time communication among vehicles and surrounding infrastructure to improve traffic management, safety, and driving experiences. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…This will enable efficient and interpretable identification and localization of power equipment in application scenarios such as automated substation inspections and real-time monitoring with drones.…”
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Research on Small-Target Detection of Flax Pests and Diseases in Natural Environment by Integrating Similarity-Aware Activation Module and Bidirectional Feature Pyramid Network Mod... by Manxi Zhong, Yue Li, Yuhong Gao

“…To enhance the detection accuracy and generalization capability of the model, this paper first employs the Albumentations library for data augmentation, which strengthens the model’s adaptability to complex environments by enriching the diversity of training samples. …”
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WindDefNet: A Multi-Scale Attention-Enhanced ViT-Inception-ResNet Model for Real-Time Wind Turbine Blade Defect Detection by Majad Mansoor, Xiyue Tan, Adeel Feroz Mirza, Tao Gong, Zhendong Song, Muhammad Irfan

“…Real-time non-intrusive monitoring of wind turbines, blades, and defect surfaces poses a set of complex challenges related to accuracy, safety, cost, and computational efficiency. …”
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A DNN-based 5G MIMO system adopting a mix of tactics by Md. Matiqul Islam, Md. Ashraful Islam, Md. Firoz Ahmed

“…However, current methods often struggle with issues related to complexity and efficiency. This paper addresses these challenges by developing a multiple input multiple output (MIMO) system that integrates deep neural network (DNN) demappers, low-density parity-check (LDPC) coding, and polar coding, creating a mix of tactics aimed at boosting performance in flat fading channel environments. …”
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Remote Sensing Image Enhancement Via Edge-Preserving Multiscale Retinex by Lu Teng, Feng Xue, Qiudi Bai

“…Comparing with the previous algorithms, the proposed one can obtain more edge details and better color fidelity but with lower computational complexity and higher efficiency.…”
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Unsupervised delineation of chicken eggs based on the universal avian egg model by Paramate Horkaew, Sajeera Kupittayanant, Pakanit Kupittayanant

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Analysis and Selection Method for Radar Echo Features in Challenging Scenarios by Yunlong Dong, Xiao Luo, Hao Ding, Ningbo Liu, Zheng Cao

“…These findings provide a reference for joint feature detection in complex scenarios. To optimize feature application, the Spearman correlation coefficient matrix was transformed into a generalized distance matrix, and spectral clustering was used to group features with strong correlations. …”
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Fish feeding behavior recognition via lightweight two stage network and satiety experiments by Shilong Zhao, Kewei Cai, Yanbin Dong, Guanbo Feng, Yuqing Wang, Hongshuai Pang, Ying Liu

“…Computer vision, as a non-invasive and efficient approach, has made significant strides in this domain. …”
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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

“…This approach handles large data sets quite well, thanks to its low time complexity. However, IF struggles to detect local outliers. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the computational complexity of high-precision detection models limits deployment on resource-constrained edge devices, such as industrial controllers. …”
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