Anomaly Detection for Aviation Cyber-Physical System: Opportunities and Challenges by Qurrat Ul Ain, Atif Aftab Ahmed Jilani, Nigar Azhar Butt, Shafiq Ur Rehman, Hisham Abdulrahman Alhulayyil

“…Additionally, it highlights the emerging trend of hybrid models that combine supervised and unsupervised techniques, offering improved detection accuracy and robustness. However, the review also reveals significant obstacles, such as the limited availability of publicly accessible datasets, which hampers research progress and the ability to benchmark models. …”
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Breakthroughs in nanostructured-based chemical sensors for the detection of toxic metals by Tinsae F. Gezahegn, Abera D. Ambaye, Tewolde M. Mekoyete, Mope E. Malefane, Kabir O. Oyedotun, Touhami Mokrani

“…This review critically investigates the existing literature to assess and capture the progress landscape of nano-based electrochemical sensors. …”
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Detection, molecular function and mechanisms of m5C in cancer by Linhui Zhang, Yuelong Li, Liqing Li, Fei Yao, Maoping Cai, Dingwei Ye, Yuanyuan Qu

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An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

“…Abstract Despite the significant progress in deep learning-based object detection, existing models struggle to perform optimally in complex agricultural environments. …”
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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

“…In recent years, with the rise of deep neural networks, there has been significant progress in improving object detection accuracy. However, despite the state-of-the-art methods being tested on public datasets, there still remains a considerable gap when applied to real-world scenarios. …”
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Real Time Person Detection and Distance Estimation Using Stereovision by Rachidi Oumayma, Bououlid Idrissi Badr, Ed-Dahmani Chafik

“…With the emergence of deep learning methodologies, significant progress has been made in the field of pedestrian detection, leading to the development of state-of-the-art detectors that exhibit impressive accuracy and efficiency in real-world scenarios. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…Timely identification is crucial for efficient intervention, as untreated diabetic retinopathy can progress to irreversible vision loss. Despite advances, existing diagnostic methods face challenges such as resource dependency, variability in accuracy, and limited accessibility, especially in underserved regions. …”
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Optimizing micro cold storage for detecting stale food and fruits by Arun Sreelekha, Amit Wagle Shivali, Nambiar Prahas, Panalkar Pratham, Ekka Prince, Kumar Vaibhav, Dhiman Harsh, Roy Anindita

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A Study on the Impact of Rain on Object Detection for Automotive Applications by Diarmaid Geever, Tim Brophy, Dara Molloy, Enda Ward, Brian Deegan, Martin Glavin, Edward Jones

“…An important question to be answered is how these sensors perform in challenging adverse weather conditions, such as rain. Although progress has been made in determining the impact of rain on computer vision performance, previous studies have generally focused on end-to-end object detection system performance and have not addressed the specific impact of rain in detail. …”
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SAR Small Ship Detection Based on Enhanced YOLO Network by Tianyue Guan, Sheng Chang, Chunle Wang, Xiaoxue Jia

“…Since the rise of deep learning, ship detection in synthetic aperture radar (SAR) images has achieved significant progress. …”
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Human face localization and detection in highly occluded unconstrained environments by Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud

“…This study shows the capacity to make substantial progress in detecting occluded faces, hence offering the ability to make a positive influence on the domains of identification, surveillance and expression recognition.…”
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THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection by Ju Liu, Haoqian Wang, Xiangai Cheng, Zhongyang Xing, Zhongjie Xu

“…In recent years, deep learning has made significant progress in the HTD field, leading to the development of many effective algorithms. …”
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Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD by Christine Fennema-Notestine, Linda K. McEvoy, Donald J. Hagler, Mark W. Jacobson, Anders M. Dale, the Alzheimer’s Disease Neuroimaging Initiative

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Emerging Biomarkers in Atherosclerosis: Advancing Early Detection and Risk Stratification by Aleksandra Sojka, Julia Sosin, Anna Pilarz, Julia Stachowiak, Maria Zwierzchowska, Dariusz Salamon, Wojciech Domagała

“…Nowadays, the diagnosis of atherosclerosis relies on the identification of specific biological markers, enabling early detection and assessment of disease progression. The most common markers used in clinical practice include low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TGs), and lipoprotein(a) (Lpa). …”
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Are Your Kidneys Ok? Detect Early to Protect Kidney Health by Joseph A. Vassalotti, Anna Francis, Augusto Cesar Soares dos Santos, Jr., Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A. Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos

“…Early identification of kidney disease can protect kidney health, prevent kidney disease progression and related complications, reduce cardiovascular disease risk, and decrease mortality. …”
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A Review on Glaucoma Disease Detection Using Computerized Techniques by Faizan Daud, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, Syed Saud Naqvi

“…Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the retina. It cannot be fully cured, however, its progression can be controlled in case of early diagnosis. …”
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Review of machine learning applications for defect detection in composite materials by Vahid Daghigh, Hamid Daghigh, Thomas E. Lacy, Jr., Mohammad Naraghi

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Management of Cushing’s disease in the initial phase~From detection to surgery~ by Hidenori Fukuoka

“…It is a disease in which several complications may have already progressed at the time of diagnosis, and complications may become more severe during the initial management phase, potentially becoming life-threatening. …”
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SPECT/CT IN DETECTION OF BONE METASTASES IN BREAST AND PROSTATE CANCERS by E. A. Glushkov, A. G. Kislichko

“…The article discusses the use of SPECT/CT in detection of metastatic involvement of the skeleton. …”
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Saliva Proteome, Metabolome and Microbiome Signatures for Detection of Alzheimer’s Disease by Maxime François, Dana Pascovici, Yanan Wang, Toan Vu, Jian-Wei Liu, David Beale, Maryam Hor, Jane Hecker, Jeff Faunt, John Maddison, Sally Johns, Wayne Leifert

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