Nighttime traffic object detection via adaptively integrating event and frame domains by Yu Jiang, Yuehang Wang, Minghao Zhao, Yongji Zhang, Hong Qi

“…Motivated by this progress, we propose an adaptive selection and fusion detection method that leverages both event and RGB frame domains to optimize nighttime traffic object detection jointly. …”
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State of the art detection methods of microplastics as marine litter: a mini review by Rajib Biswas

“…In recent years, significant progress has been made in developing detection methods to enhance our understanding of microplastic pollution. …”
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Particular sequence characteristics induce bias in the detection of polymorphic transposable element insertions by Verneret, Marie, Le, Van Anthony, Faraut, Thomas, Turpin, Jocelyn, Lerat, Emmanuelle

“…Transposable elements (TEs) have an important role in genome evolution but are challenging for bioinformatics detection due to their repetitive nature and ability to move and replicate within genomes. …”
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Adaptive threshold scheme for fault detection for positive switched systems with parametric uncertainty by Kenza Telbissi

“…The proposed approach involves the concurrent generation of residuals and a dynamic threshold, enhancing the precision and efficiency of fault detection. Additionally, our work introduces an innovative method for fault detection with parametric uncertainties, outlining sufficient conditions for designing the observer using Linear Programs (LP). …”
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Parameter Optimisation of Support Vector Machine using Genetic Algorithm for Cyberbullying Detection by Mohd Qorib Alqowiy, Ema Utami

“…Several social media platforms enable users to connect with one another easily. However, this progress often comes with negative impacts. One such impact is cyberbullying, which has become a growing concern. …”
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Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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Aggregation-Induced Emissive Scintillators: A New Frontier for Radiation Detection and Imaging by Xinyi Li, Jiafu Yu, Yinghao Fan, Yuting Gao, Guangda Niu

“…Reviews the progress in AIE materials’ radiation response for efficient detection of X-rays, γ rays, neutrons, and other radiation types. …”
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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

“… The rise of COVID-19 pandemic has had a lasting impact in many countries worldwide since 2019. Face-mask detection had been significant progress in the Image processing and deep learning fields studies. …”
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Evaluating the performance of the Xpert HPV assay in detecting HPV positive cases in Morocco by Said Ali Yerim, Youssef Chami Khazraji, Rachid Bekkali, Maria Bennai, Nassiba Bahra, Imane Chaoui, Fatima Zahra Chellat, Zineb Gaizi, Nabil Tachfouti, Anas Benabdellah, Bouchra Belkadi, Mohammed Attaleb, Mohamed Amine Berraho, Mohammed El Mzibri

“…Recently, the World Health Organization recommended integrating HPV testing into cervical cancer screening programs globally. This study aimed to compare the GeneXpert assay with PCR-sequencing for HPV detection and genotyping to assess the feasibility of incorporating HPV molecular testing into cervical cancer screening. …”
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Fetal Mammary Gland Development and Offspring’s Breast Cancer Risk in Adulthood by Lawrence Mabasa, Anri Kotze, Nonhlakanipho F. Sangweni, Tarryn Willmer, Kwazikwakhe B. Gabuza, Oelfah Patel, Sylvester Ifeanyi Omoruyi, Anathi Burns, Rabia Johnson

“…While advancements in early detection and improved access to care have significantly enhanced breast cancer survival rates, the disease remains a significant global malignancy, constituting approximately 12.5% of all new cancer cases and claiming nearly 700,000 lives in 2020. …”
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A Weakly Supervised Network for Coarse-to-Fine Change Detection in Hyperspectral Images by Yadong Zhao, Zhao Chen

“…In recent years, deep-learning based HSI-CD methods have made remarkable progress due to their powerful nonlinear feature learning capabilities, yet they face several challenges: mixed-pixel phenomenon affecting pixel-level detection accuracy; heterogeneous spatial scales of change targets where coarse-grained features fail to preserve fine-grained details; and dependence on high-quality labels. …”
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Audio Deepfake Detection: What Has Been Achieved and What Lies Ahead by Bowen Zhang, Hui Cui, Van Nguyen, Monica Whitty

“…It begins by exploring the foundational methods of audio deepfake generation, including text-to-speech (TTS) and voice conversion (VC), followed by a review of datasets driving progress in the field. The survey then delves into detection approaches, covering frontend feature extraction, backend classification models, and end-to-end systems. …”
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Deep learning and digital twin integration for structural damage detection in ancient pagodas by Sida Xu, Haonan Chen

“…Abstract In recent years, with the rise of digital twin technology in the field of artificial intelligence and the continuous advancement of hardware imaging equipment, significant progress has been made in the detection of structural damage in buildings and sculptures. …”
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Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…A deep learning sports health video propagation detection and recognition system is built through the mode of video propagation to provide real-time training information for sports and scientific body index parameters and exercise data for sports health programs. …”
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A statistical framework for detecting therapy-induced resistance from drug screens by Chenyu Wu, Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder

“…This approach enables the detection and quantification of therapy-induced resistance using high-throughput drug screening data involving total cell counts, without requiring information on subpopulation counts. …”
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A Narrative Review on Functionalized Nanoparticles for the Treatment and Early Detection of Hepatocellular Carcinoma by Meda Cosma, Teodora Mocan, Lavinia Ioana Sabau, Teodora Pop, Ofelia Mosteanu, Lucian Mocan

“…Due to their physicochemical properties, these nanoparticles can also carry contrast agents, enabling precise identification of tumor cells and contributing to the early diagnosis of hepatocellular carcinoma. (4) Conclusions: While significant progress has been made, challenges such as toxicity, cost, and regulatory hurdles remain.…”
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USING VAGINAL SELF-SAMPLING DEVICES FOR DETECTION OF HIGH-RISK HUMAN PAPILLOMAVIRUS by KRISTINA V. Marochko, NATALIA V. Artymuk, TATIANA Y. Belokrinitskaya, NATALIA I. Frolova

“…Currently, screening programs relying on Papanicolaou test or liquid-based cytology are employed in many countries but have a limited efficiency. …”
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Determination of Optimal Dataset Characteristics for Improving YOLO Performance in Agricultural Object Detection by Jisu Song, Dongseok Kim, Eunji Jeong, Jaesung Park

“…Recent advances in artificial intelligence and computer vision have led to significant progress in the use of agricultural technologies for yield prediction, pest detection, and real-time monitoring of plant conditions. …”
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Deep Learning Techniques for Detecting Morphed Face Images: A Literature Review by Pedro Morais, Ines Domingues, Jorge Bernardino

“…Despite these challenges, deep learning techniques have made significant progress in improving Morph Attack Detection (MAD) systems. …”
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Normal-Only Anomaly Detection in Environmental Sensors in CPS: A Comprehensive Review by Yaa Takyiwaa Acquaah, Roy Kaushik

“…Anomaly detection is crucial for maintaining the reliability and security of environmental sensors in Cyber-Physical Systems (CPS). …”
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