Target detection methods based on UAV payloads by GUAN Donglin, ZHANG Jianting, WANG Yi, TAN Shuncheng

“…Finally, future research directions such as developing cross-modal object detection technology, constructing intelligent detection systems, and enhancing the capability of super large models and so on are discussed, which are expected to provide reference and guidance for subsequent research.…”
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Machine learning fusion for glioma tumor detection by C. Gunasundari, K. Selva Bhuvaneswari

“…Further research and validation are essential to refine the system and ensure its clinical applicability. The development of accurate and efficient tumor detection systems holds significant promise for enhancing patient care and improving survival rates.…”
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Application of Targeted Proteomics in Food Safety Detection by CHEN Mengqi, PENG Miaoxi, LIU Jingwen, HUANG Chengdong, WU Zuqing, LING Li, YUAN Muyun, CHEN Wenrui, HU Songqing

“…Meanwhile, an outlook on the future development of this field is given.…”
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Insulator detection based on SE-YOLOv5s by Qing TIAN, Rong HU, Zuoyong LI, Yuanzheng CAI, Zhaochai YU

“…In a large environment where the power system needs to be inspected, the traditional method of manual inspection has great inconvenience and potential safety risks, and the object detection method of unmanned aerial vehicle has great application prospects in the direction of insulator detection and recognition.SE-YOLOv5s, a lightweight insulator detection network that performs efficient detection for this task was presented.Firstly, backbone of YOLOv5s by fusing the SE attention module was strengthen.Then, the position distribution of insulator object was investigated and predefined templates of a priori box by K-means clustering on prior coordinate vectors were generated.Finally, the network by a multitask loss function was trained combined with confidence and position regression task.Furthermore, Mosaic data augmentation was utilized to supplement additional training samples.Experimental results demonstrate that the proposed SE-YOLOv5s significantly outperforms baseline methods at multiple criterions including accuracy, recall rate, detection rate and mean average precision.In comparison with the baselines, the proposed network has a flexible trade-off between robustness and memory overhead and it is a potential approach to promote the power system development.…”
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Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

“…In this research, a method was developed to detect Parkinson's disease using machine learning,  learning transfer techniques were relied upon to extract features from handwriting images that we obtained from the NewHandPD database, and then these images were classified into two categories (Parkinson's disease and non-Parkinson's disease) by KNN classification algorithm, for being accurate and fast in calculations, the results  of the  training of the INCEPTION-V4 model showed  a detection accuracy of up to 93%, as well as an area under the curve of 0.89 with a loss of only 0.2 , where this model can be relied on to diagnose and detect Parkinson's disease with high accuracy. …”
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Biomarkers in molecular medicine: cancer detection and diagnosis by Padma Maruvada, Wendy Wang, Paul D. Wagner, Sudhir Srivastava

“…Effective screening strategies depend on methods that are noninvasive and detect cancers in their early stages of development. …”
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Detection avoidance techniques for large language models by Sinclair Schneider, Florian Steuber, João A.G. Schneider, Gabi Dreo Rodosek

“…The increasing popularity of large language models has not only led to widespread use but has also brought various risks, including the potential for systematically spreading fake news. Consequently, the development of classification systems such as DetectGPT has become vital. …”
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A Systematic Review of Microplastic Detection in Water by Jan Raphael Alcaraz, Jerry Olay, Carlou Eguico, Rommel Jose Yan, Melannie Mendoza, Florence Joie Floresca-Lacsa, Josel Godezano, Rugi Vicente C. Rubi

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Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

“…In the modern educational context the problem of plagiarism is urgent and requires the development of effective methods of detection and prevention of this phenomenon. …”
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Electronic News Dataset for Native Advertisement Detection by Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari

“…The resulting, carefully annotated dataset emerges as an invaluable resource, promising to propel the development and evaluation of sophisticated native ads detection algorithms. …”
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Current Approaches to Microplastics Detection and Plastic Biodegradation by Paula Przygoda-Kuś, Katarzyna E. Kosiorowska, Aneta K. Urbanek, Aleksandra M. Mirończuk

“…In this review, we summarize the latest advances in techniques for detecting biodegradation of synthetic polymers and future directions in the development of sustainable strategies for mitigating plastic pollution.…”
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An embedded intelligence engine for driver drowsiness detection by Shirisha Vadlamudi, Ali Ahmadinia

“…A pattern is derived based on slow drifting and fast corrective steering movement. A prototype that detects the drowsiness of an automobile driver using artificial intelligence techniques, precisely using open‐source tools like TensorFlow Lite on a Raspberry Pi development board, is developed. …”
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Lightweight Vehicle Detection Based on Mamba_ViT by Ze Song, Yuhai Wang, Shuobo Xu, Peng Wang, Lele Liu

“…Additionally, a multi-scale feature fusion mechanism is employed to enhance the integration of shallow and deep features, leading to the development of a vehicle detection algorithm named Mamba_ViT_YOLO. …”
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Molecular imprinting and nanomaterial synergy for lactate detection by Christopher Animashaun, Gymama Slaughter

“…Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. …”
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Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…Compared with other mainstream networks, the detection accuracy of Feffol network has been significantly improved, which fully proves its advancement and effectiveness in the task of target detection, and provides new ideas and methods for the further development of this field.…”
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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

“…To prevent damage or losses, we must detect such anomalies. Internet of Things (IoT) devices are developed daily, leading to increased security vulnerabilities. …”
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Deep Learning-Based Atmospheric Visibility Detection by Yawei Qu, Yuxin Fang, Shengxuan Ji, Cheng Yuan, Hao Wu, Shengbo Zhu, Haoran Qin, Fan Que

“…Traditional visibility detection methods, primarily manual and instrumental, have been costly and imprecise. …”
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Automatic tag detection in multimedia survey condition by M. Russo, L. Martelli, R. Ravanelli, A. Pini

“…In this context, the detection of shapes in shallow waters (either in submerged or semi-submerged scenarios) constitutes an intriguing research topic. …”
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Detecting tax evasion in the hospitality and tourism sector by Andrei Dumitriu, Veronica Grosu, Cristina Gabriela Cosmulese

“…One of the industries with the fastest development is the hospitality and tourism (HoReCa) sector. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…In recent years, with the rapid development of deep learning, the application of deep learning techniques for precise blink detection has emerged as a significant area of interest among researchers. …”
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