Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects by Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi

“…We conducted a systematic literature review of deepfake detection to offer an updated overview of existing research work that initially describes the widely accessible deepfake generation tools, classifications, and detection process. …”
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Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…Recently with the application of machine learning approaches and the soft computing, the damage can be detected easily. In this methodology, Clonal Section Algorithm (CSA) has been applied to find out the faults (crack locations and depth) in the structure initially. …”
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Automated Visual Inspection for Precise Defect Detection and Classification in CBN Inserts by Li Zeng, Feng Wan, Baiyun Zhang, Xu Zhu

“…A suite of defect detection algorithms undergoes comparative analysis to discern their efficacy, emphasizing the impact of algorithm parameters and dataset diversity on detection precision. …”
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Domain Adaptive Urban Garbage Detection Based on Attention and Confidence Fusion by Tianlong Yuan, Jietao Lin, Keyong Hu, Wenqian Chen, Yifan Hu

“…To overcome the challenges posed by limited garbage datasets and the laborious nature of data labeling in urban garbage object detection, we propose an innovative unsupervised domain adaptation approach to detecting garbage objects in urban aerial images. …”
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Analyzing Menton Deviation in Posteroanterior Cephalogram in Early Detection of Temporomandibular Disorder by Trelia Boel, Ervina Sofyanti, Erliera Sufarnap

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Edge detection of aerial images using artificial bee colony algorithm by Nurdan Akhan Baykan, Elif Deniz Yelmenoglu

“…Edge detection techniques are the one of the best popular and significant implementation areas of the image processing. …”
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AFault Tolerant Multi-Controller Framework for SDN DDoS Attacks Detection by Parisa Valizadeh, Ahmad Taghinezhad-Niar

“…In addition, an early DDoS attack detection algorithm using the entropy of destination IP addresses and the packet window initiation rate is presented. …”
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Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

“…However, with the advancement of technology and the digitalization of ICS, the attack space available to malicious actors has significantly expanded. Anomaly detection systems, initially implemented for detecting device faults or failures, have increasingly become the focus of research aimed at identifying attack patterns as cyberattack techniques become more sophisticated and intelligent. …”
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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…These findings are compared to existing clinical studies on detecting AD using retinal biomarkers, allowing us to identify the most important features for AD detection in each imaging modality. …”
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Leveraging IGOOSE-XGBoost for the Early Detection of Subclinical Mastitis in Dairy Cows by Rui Guo, Yongqiang Dai

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Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks by Muhammad Mateen, Junhao Wen, Nasrullah Nasrullah, Song Sun, Shaukat Hayat

“…In the proposed approach, initially data preprocessing is performed for standardization of exudate patches. …”
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Ice Thickness Detection of Transmission Lines Based on Cross-Guide-UNet by Yu Zhang, Yangyang Jiao, Yinke Dou, Liangliang Zhao, Qiang Liu, Yang Liu

“…Therefore, we propose a Cross-Guide-UNet (CG-UNet) model for detecting the thickness of ice on ice-covered transmission lines. …”
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An integrated, tiered microplastic workflow, supporting rapid broadscale detection options by Samantha K Lynch, Colin L Johnson, Shivanesh Rao, Jaimie Loa-Kum-Cheung, Edwina L Foulsham, Alessandra L Suzzi, Lachlan Hill, Neil Doszpot, Rajitha Athukorala, Uthpala Pinto, Keegan Vickers, Maddison Carbery, Marina F.M. Santana

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Beyond Detection: A Framework for Transforming Accessibility Evaluations into Implementable Fixes by Paula Palomino, André Araújo, Alenilton Silva, Rafael Araújo, Diego Dermeval, Grace Lis Porto, Sofia Simanke, Thiago Cordeiro, Rodrigo Lisboa

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A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection by Bingqi Liu, Peijun Mo, Shengzhe Wang, Yuyong Cui, Zhongjian Wu

“…Remote sensing object detection (RSOD) plays a crucial role in resource utilization, geological disaster risk assessment and urban planning. …”
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Infrared Tiny Structureless Object Detection Enhanced by Video Super-Resolution by Duixu Mao, Xiaxu Chen, Linhan Xu, Jun Ke

“…The precise detection of infrared (IR) tiny objects against complex backgrounds is of great significance in the field of aircraft imaging guidance. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…As train intelligence continues to advance, numerous studies have emerged to explore lightweight techniques for object detection models on onboard equipment, for the purpose of improving calculation efficiency amidst limited resources. …”
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Video Scene Detection Using Compact Bag of Visual Word Models by Muhammad Haroon, Junaid Baber, Ihsan Ullah, Sher Muhammad Daudpota, Maheen Bakhtyar, Varsha Devi

“…Initially, the video is divided into the shots which are later represented by a set of key frames. …”
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Molecular Detection of Gene Mutation Related to Drug Resistance in Mycobacterium leprae by Saumya Shukla, Shaina Gaikwad, Dhandapani Sureshgopi, Vivek Kumar Chouksey, Chandrashekhar Pathe, Jerene Mathews, Jitendra Singh, Shashank Purwar, Debasis Biswas, Pushpendra Singh, Anand Kumar Maurya

“…While the absence of resistance to first-line anti-leprosy drugs is reassuring, the emergence of resistance to fluoroquinolones is a cause for concern. Early detection of resistant strains facilitates prompt initiation of drug therapies, reducing their spread and advancing the global leprosy eradication effort.…”
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GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi

“…Automatic movie genre detection is vital for improving content recommendations, user experiences, and organization. …”
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