Capacity Constraint Analysis Using Object Detection for Smart Manufacturing by Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat

“…The increasing adoption of Deep Learning (DL)-based Object Detection (OD) models in smart manufacturing has opened up new avenues for optimizing production processes. …”
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Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection by Tianhong Qi, Yanyan Hu, Juan Wang

“…While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability challenges in ground-based cloud detection. …”
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Detecting Botrytis Cinerea Control Efficacy via Deep Learning by Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng

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A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware by Mazen Gazzan, Bader Alobaywi, Mohammed Almutairi, Frederick T. Sheldon

“…Key innovations include (1) data augmentation using a Bi-Gradual Minimax Generative Adversarial Network (BGM-GAN) to generate synthetic ransomware attack patterns, addressing data insufficiency; (2) Incremental Mutual Information Selection (IMIS) for dynamically selecting relevant features, adapting to evolving ransomware behaviors and reducing computational overhead; and (3) a Deep Belief Network (DBN) detection architecture, trained on the augmented data and optimized with Uncertainty-Aware Dynamic Early Stopping (UA-DES) to prevent overfitting. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…This Special Issue on “Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data” presents innovative strategies leveraging remote sensing technologies, artificial intelligence (AI), and non-destructive testing (NDT) to optimize road infrastructure assessment. …”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…This paper is mainly devoted to cell outage detection and compensation methods in two-tier HetNets where macrocell and picocells are coexisted. …”
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Recent Advances in Microfluidic Impedance Detection: Principle, Design and Applications by Yigang Shen, Zhenxiao Wang, Tingyu Ren, Jianming Wen, Jianping Li, Tao Tang

“…This review systematically summarizes the core principles of microfluidic impedance detection technology, modeling methods for cell equivalent circuits, system optimization strategies, and recent research advancements in biological detection applications. …”
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Genderly: a data-centric gender bias detection system by Wael Khreich, Jad Doughman

“…We also curated new datasets as community resources for bias detection and mitigation. Our experiments used diverse preprocessing, feature engineering, and hyperparameter optimization methods for traditional ML models and large language models (LLMs) as gender bias detectors, comparing these results to evaluate model performance. …”
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Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

“…Compared with YOLOv7-tiny and YOLOv8 models, the improved model has significant advantages.ConclusionThe experimental method can optimize the detection percision and reduces the parameters in the detection of egg' appreance, so as to achieve the purpose of identifying defected eggs in the automatic production. …”
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Inner Ear Multiple Primary Cell Type Detection System by Yu-Ting Li, Ching-Yun Chen, Bing-Siang Wang, Po-Hsuan Hung, Chia-Yu Lin

“…IEP cells contain multiple cell types, including progenitor cells, which can differentiate into hair-progenitor or neuro-progenitor cells. Accurate cell detection is essential to understand cell interactions and optimize culture conditions, ultimately reducing the sacrifice of mice. …”
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Leveraging multivariate information for community detection in functional brain networks by Maria Grazia Puxeddu, Maria Pope, Thomas F. Varley, Joshua Faskowitz, Olaf Sporns

“…We compared redundancy-dominated modules to those identified with conventional methods, uncovering a new organization of the transmodal cortex. …”
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Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…The integration of CGM into routine care can detect early indicators of type 2 diabetes, inform the development of personalized intervention strategies, and foster patient engagement and empowerment. …”
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Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

“…The findings highlight the need for model-task alignment and optimization in medical imaging applications.…”
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Frobenius deep feature fusion architecture to detect diabetic retinopathy by C. Priyadharsini, Y. Asnath Victy Phamila

“…It can result in permanent vision impairment at advanced stages if not managed properly. Detecting various severity levels helps identify the level of treatment required for each patient, and directing them to the appropriate intensive care unit helps optimize the overall treatment efficacy. …”
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Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees by Cheng Shen, Yuewei Liu

“…Traditional defect detection methods predominantly rely on manual inspection, which suffers from low efficiency and high costs. …”
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Energy-Efficient Deep Learning for Cloud Detection Onboard Nanosatellite by Imane Khalil, Amina Daghouri, Mohammed Alae Chanoui, Zouhair Guennoun, Adnane Addaim

“…To address these challenges, we propose an optimized SegNet-based deep learning model implemented on the STM32H7 microcontroller for real-time cloud detection, designed to operate within the nanosatellite's strict energy budget. …”
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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

“…Anomaly detection in Aviation CPS is critical to ensuring safety and reliability. …”
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Closed-Loop Aerial Tracking with Dynamic Detection-Tracking Coordination by Yang Wang, Heqing Huang, Jiahao He, Dongting Han, Zhiwei Zhao

“…The framework achieves rapid target reacquisition during prolonged occlusion scenarios through optimized protocols, outperforming conventional methods in sustained aerial surveillance tasks.…”
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SwinVision: Detecting Small Objects in Low-Light Environments by Tao Dai, Qi Wang, Yuancheng Shen, Shang Gao

“…Firstly, a Swin Transformer-based computing network is introduced and optimized for object detection in large-scale areas. …”
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Remote Sensing Change Detection by Pyramid Sequential Processing With Mamba by Jiancong Ma, Bo Li, Hanxi Li, Siying Meng, Ruitao Lu, Shaohui Mei

“…Change detection (CD) in remote sensing imagery is crucial for monitoring environmental variations over time. …”
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