HCT-Det: A High-Accuracy End-to-End Model for Steel Defect Detection Based on Hierarchical CNN–Transformer Features by Xiyin Chen, Xiaohu Zhang, Yonghua Shi, Junjie Pang

“…These results highlight the model’s effectiveness in improving computational efficiency and detection accuracy for steel surface defect detection.…”
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A multiple biomolecules-based rapid life detection protocol embedded in a rover scientific subsystem for soil sample analysis by Akib Zaman, Fardeen Ashraf, Haseena Khan, Faria Noshin Ahona, Oliullah Samir, Asif Mahmud Rayhan, Sadia Nur Nazifa, Hafsah Mahzabin Chowdhury, Md. Mahbubur Rahman

“…This research focuses on the objective of the extraterrestrial life detection domain and seeks to provide an efficient protocol that can produce life detection decisions based on empirical data obtained through chemical analysis under time and resource-constrained conditions. …”
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YOLO-LSD: A Lightweight Object Detection Model for Small Targets at Long Distances to Secure Pedestrian Safety by Ming-An Chung, Sung-Yun Chai, Ming-Chun Hsieh, Chia-Wei Lin, Kai-Xiang Chen, Shang-Jui Huang, Jun-Hao Zhang

“…YOLO-LSD attains higher detection accuracy for small and distant objects while maintaining lower computational complexity. …”
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SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…Their indistinct features and susceptibility to background noise interference often result in suboptimal detection accuracy. To address these challenges, this study proposes a deep learning network based on the YOLO architecture—SFD-YOLO (Sinking Funnel Detection-YOLO). …”
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Slim-sugarcane: a lightweight and high-precision method for sugarcane node detection and edge deployment in natural environments by Lijiao Wei, Lijiao Wei, Shuo Wang, Xinwei Liang, Dongjie Du, Xinyi Huang, Ming Li, Yuangang Hua, Weihua Huang, Zhenhui Zheng, Zhenhui Zheng

“…Accurate detection of sugarcane nodes in complex field environments is a critical prerequisite for intelligent seed cutting and automated planting. …”
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CSEANet: Cross-Stage Enhanced Aggregation Network for Detecting Surface Bolt Defects in Railway Steel Truss Bridges by Yichao Chen, Yifan Sun, Ziheng Qin, Zhipeng Wang, Yixuan Geng

“…While UAV-based approaches have recently been developed, they still encounter significant technical obstacles, including small target recognition, background complexity, and computational limitations. To overcome these challenges, CSEANet is introduced—an improved YOLOv8-based framework tailored for bolt defect detection. …”
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Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments by Sai Babu Veesam, B. Tarakeswara Rao, Zarina Begum, R. S. M. Lakshmi Patibandla, Arvin Arun Dcosta, Shonak Bansal, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Evaluation on the UCF-Crime, ShanghaiTech and Avenue Datasets showed 40% better false alarm reduction, 50% computational demands lower and an impressive 98% real-time efficiency of this multi-faceted framework. This total framework will enable multi-camera crowd surveillance with adaptive scalability and resource provisioning for real-time dynamic behavioral anomaly detection in real-world settings.…”
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MATHEMATICAL MODEL FOR SEARCHING AND DETECTING EXPLOSIVE DEVICES WITH NON-CONTACT TARGET SENSORS BY THE METHOD OF NON-LINEAR RADAR by Oleksandr Smolkov, Volodymyr Kotsiuruba, Konstantin Hunbin

“…This state of affairs has exacerbated the problem of countering explosive threats, and with it the need to ensure the required level of efficiency, safety and cost of search and detection of explosive devices with non-contact (electronic) target sensors. …”
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LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion by Hang Yu, Bingzong Liu, Lei Wang, Teng Li

“…In order to conquer the difficulties of the high complexity of the existing deep learning model and the balance between efficiency and high accuracy, this paper proposes a lightweight dual-domain feature fusion detection model (LD-Det) for ship target detection. …”
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CRISPR-Cas9-based electrochemical biosensor for the detection of katG gene mutations in isoniazid-resistant tuberculosis by Dika Apriliana Wulandari, Muhammad Ihda Hamlu Liwaissunati Zein, Salma Nur Zakiyyah, Safri Ishmayana, Mehmet Ozsoz, Yeni Wahyuni Hartati, Irkham

“…Key results: The biosensor system detects the target DNA through hybridization with DNA probe-Fc, forming double-stranded DNA (dsDNA) that is recognized and cleaved by the Cas9/gRNA complex. …”
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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…However, ZFE-MMSE effectively detects the signal at a low SNR, outperforming contemporary algorithms at complexity similar to MMSE and ZFE, and can enhance the latency performance for smart health care applications.…”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

“…However, detection is challenged by small crack size, complex morphology, large scale variation, and uneven spatial distribution, further exacerbated by UAVs’ limited onboard computational capacity. …”
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Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques by Mahsa Ashouri, Frederick Kin Hing Phoa, Marzia Angela Cremona

“…Being based on OLS, it is efficient and permits avoiding the computational burden of more complex methods. …”
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A Blueberry Maturity Detection Method Integrating Attention-Driven Multi-Scale Feature Interaction and Dynamic Upsampling by Haohai You, Zhiyi Li, Zhanchen Wei, Lijuan Zhang, Xinhua Bi, Chunguang Bi, Xuefang Li, Yunpeng Duan

“…In the context of blueberry orchard management and automated harvesting, this study introduces an improved YOLOv8 model, ADE-YOLO, designed for precise blueberry ripeness detection, enhancing automated picking efficiency. …”
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Nanobiomaterials-enabled sensors for heavy metal detection and remediation in wastewater systems: advances in synthesis, characterization, and environmental applications by Lata Deso Abo, Hirpha Adugna Areti, Mani Jayakumar, Magesh Rangaraju, Saminathan Subashini

“…Currently, heavy metal pollution in water and wastewater has garnered significant attention due to its adverse effects on environmental and human health. Conventional detection and remediation techniques often fall short because of their complexity, cost, and limited efficiency. …”
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Ultrasound-assisted DLLME with natural deep eutectic solvent and smartphone-based colorimetry for Pb(II) detection in water by Nayyer Azhdari, Biuck Habibi, Zahra Ayazi, Elaheh Rahimpour

“…This research presents a novel, cost-efficient and high-performance method for preconcentration and detection of lead ions [Pb(II)] using ultrasound-assisted dispersive liquid-liquid microextraction (USA-DLLME) combined with digital image colorimetry (DIC). …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla Ehsanul Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury

“…To address these challenges, we propose a novel model, Self-DSNet, for efficient driving distraction detection. The proposed Self-DSNet model utilizes Self-Organizing Neural Network (Self-ONN) layers to enhance complex pattern learning within the data. …”
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A harmonic current detection algorithm for aviation active power filter based on generalized delayed signal superposition by Yong Lu, Bohan Li, Guofei Teng, Zhen Zhang, Xianfeng Xu

“…Then, the complexity of the operator was analyzed. Due to the symmetry of the coefficients, the operation time of the operators can be reduced. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…The results indicate that the SVM model excels in handling high-dimensional and intricate data, demonstrating its capability to tackle the complexity of modern cyber threats. On the other hand, KNN proves to be more efficient and straightforward when applied to less complex data structures. …”
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A new approach for the detection of genetic alterations utilizing modified loop-mediated isothermal amplification reaction (LAMP) by Aneta Cierzniak, Małgorzata Małodobra-Mazur, Miron Tokarski

“…Current methods are hindered by complex workflows, requiring advanced equipment, skilled personnel, and invasive tissue sampling. …”
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