Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon

“…The modified RetinaNet achieves an average precision (AP) of 32.1, surpassing state-of-the-art models in small tumor detection (AP_S: 14.3) and large tumor localization (AP_L: 49.7). …”
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YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

“…Experimental results show that our method significantly reduces localization drift caused by moving entities, improves dense mapping accuracy, and achieves favorable runtime efficiency in multiple real underwater video datasets, demonstrating both its potential and advanced capabilities in dynamic underwater settings.…”
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Swimmer’s Head Detection Based on a Contrario and Scaled Composite JTC Approaches by D. Benarab, T. Napoléon, A. Alfalou, A. Verney, P. Hellard

“…First, we propose a region of interest localization module that allows the detection of the first appearance of the swimmer in the lane as well as the restriction of the region of interest around him. …”
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Automated Detection of Young Eucalyptus Plants for Optimized Irrigation Management in Forest Plantations by Jhonata S. Santana, Domingos S. M. Valente, Daniel M. Queiroz, Andre L. F. Coelho, Igor A. Barbosa, Abdul Momin

“…Evaluation metrics, such as precision, recall, mAP-50, and mAP50-95, were used to compare model performance and select the best option for localized irrigation automation. The YOLOv8 model had a mean detection precision of 0.958 and a mean recall of 0.935, with an mAP-50 of 0.974 and an mAP50-95 of 0.836. …”
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Hybrid Transient-Machine Learning Methodology for Leak Detection in Water Transmission Mains by Caterina Capponi, Andrea Menapace, Silvia Meniconi, Daniele Dalla Torre, Maurizio Tavelli, Maurizio Righetti, Bruno Brunone

“…The accuracy of leak localization is demonstrated using three different degrees of noise in terms of mean absolute error, ranging between 0.54 m and 2.1 m. …”
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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

“…The integration of FMSA improves feature selection and fault localization, enhancing both the interpretability and precision of the detection system. …”
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The accuracy of ultrasonography for detection of enlarged parathyroid glands in patients with different forms of hyperparathyroidism by Stefanović Dara, Petrović Milan, Dugonjić Sanja

“…The aims of this study were: to determine the utility of ultrasonography for preoperative identification and localization of enlarged parathyroid glands (PTG) in patients with different forms of hyperparathyroidism (HPT); to examine the frequency of PTG detection in patients previously non-suspected for HPT but having symptoms relevant to the disease; to determine sensitivity and positive predictive value (PPV) of ultrasonography for identification of PTG in HPT and to compare obtained results with those obtained by scintigraphy. …”
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Fisher Information of Mine Collapse Hole Detection Based on Sensor Nodes Connectivity by Shengbo Hu, Heng Shu, Xiaowei Song

“…Numerical calculation shows that connectivity-based localization schemes are better to detect collapse hole of coal mine.…”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…Further research indicates that this method is not only applicable to industrial defect detection but can also be transferred to personnel localization and rescue tasks in fire and smoke environments. …”
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HRDA-Net: image multiple manipulation detection and location algorithm in real scene by Ye ZHU, Yilin YU, Yingchun GUO

“…Aiming at the problems that the fake image just contains one tampered operation in mainstream manipulation datasets and the artifact is a common problem in manipulation location.The multiple manipulation dataset (MM Dataset) was constructed for real scene, which contained both splicing and removal in each images.Based on this, an end-to-end high-resolution representation dilation attention network (HRDA-Net) was proposed for multiple manipulation detection and localization, which fused the RGB and SRM features through the top-down dilation convolutional attention (TDDCA).Finally, the mixed dilated convolution (MDC) would respectively extract the features of splicing and removal, which could realize multiple manipulation location and confidence prediction.The cosine similarity loss was proposed as auxiliary loss to improve the efficiency of network.Experimental results on MM Dataset indicate that the performance and robustness of HRDA-Net is better than semantic segmentation methods.Furthermore, the scores of F1 and AUC are greater than state-of-the-art manipulation location methods in CASIA and NIST datasets.…”
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Detection and attribution of climate change impacts in coupled natural-human systems in the Andes by Ana Ochoa-Sánchez, Dáithí Stone, Fabian Drenkhan, Daniel Mendoza, Ronald Gualán, Christian Huggel

“…These findings highlight the need to understand the complex interactions of natural and human systems, support policy-making and implement locally relevant adaptation responses to climate change.…”
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Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data by Ming-Chih Huang, Yen-Po Wang, Ming-Lian Chang

“…This study gives further insights into the scheme in terms of effectiveness, robustness, and limitation for damage localization of frame systems.…”
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Detection system of multi-track intelligent inspection robot for urban rail vehicles by WU Hongbo, QIU Weiming, WANG Jing, ZHU Linsen

“…The multi-track intelligent inspection robot detection system of urban rail vehicles realized automatic detection of the bottom and both sides of subway vehicles by adopting intelligent robot technology, SLAM (Simultaneous Localization and Mapping) technology, multi-degree-of-freedom flexible cooperative manipulator control technology, high-definition optical imaging technology and AI (Artistic Intelligence) algorithm, as well as automatic early warning of abnormal situations such as deformation, looseness, missing and foreign bodies of key components of vehicle running gear. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Subsequently, the α-CIoU localization loss function replaces the traditional CIoU to enhance the model’s regression accuracy. …”
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Mobile Beacon Based Wormhole Attackers Detection and Positioning in Wireless Sensor Networks by Honglong Chen, Wendong Chen, Zhibo Wang, Zhi Wang, Yanjun Li

“…In this paper, we propose a novel wormhole attackers detection and positioning scheme based on mobile beacon, which can not only detect the existence of wormhole attacks, but also accurately localize the attackers for the system to eliminate them out of the network. …”
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CNN-based remote dental diagnosis model for caries detection with grad-CAM by Donghyeok Kim, Jangkyum Kim, Seong Gon Choi

“…To address these limitations, this study introduced a remote caries detection model using a ResBlock-AutoEncoder that generates domain-specific pre-trained weights. …”
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A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification by Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Areeba Shaheen, Rida Iqbal, Zarnab Rizwan, Ghina Rizwan, Muhammad Moazam Fraz

“…Abstract Accurate identification and localization of cephalometric landmarks are crucial for diagnosing and quantifying anatomical abnormalities in orthodontics. …”
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PSHNet: Hybrid Supervision and Feature Enhancement for Accurate Infrared Small-Target Detection by Weicong Chen, Chenghong Zhang, Yuan Liu

“…This paper proposes PSHNet, a hybrid deep-learning framework that combines dense spatial heatmap supervision with geometry-aware regression for accurate infrared small-target detection. The network generates position–scale heatmaps to guide coarse localization, which are further refined through sub-pixel offset and size regression. …”
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A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection by Van-Doan Nguyen, Abebe Diro, Naveen Chilamkurti, Will Heyne, Khoa Tran Phan

“…We also proposed an efficient heuristic method to aggregate a federated model from a list of ML models trained locally on the selected devices, which helps to improve the federated model’s anomaly detection ability. …”
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An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy by Yufeng Lu, Chenglou Liu, Haichao Hong, Yunwei Huang, Tingwei Ji, Fangfang Xie

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