Forensic Examination of Drones: A Comprehensive Study of Frameworks, Challenges, and Machine Learning Applications by Elhaam Abdulrahman Debas, Abdullah Albuali, M. M. Hafizur Rahman

“…This investigation contributes valuable insights into the multifaceted landscape of drone forensics, offering a roadmap for ongoing research at the intersection of technology and law.…”
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LADOS: Aerial Imagery Dataset for Oil Spill Detection, Classification, and Localization Using Semantic Segmentation by Konstantinos Gkountakos, Maria Melitou, Konstantinos Ioannidis, Konstantinos Demestichas, Stefanos Vrochidis, Ioannis Kompatsiaris

“…The results on the test set demonstrate an overall performance exceeding 66% mean Intersection over Union (mIoU), with specific classes such as oil and emulsion to surpass 74% of IoU part of the experiments.…”
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Mapping the landscape of halal tourism: a bibliometric analysis by Chariyada Chantarungsri, Nongluck Popichit, Sanasun Rugthangam, Nuanrath Wattana, Jirat Chuanchom, Monsinee Sukmak

“…The study identifies key research gaps, advocating for investigations into heritage tourism’s intersection with Halal tourism, the impact of Halal certification, and technology’s role in enhancing travel experiences. …”
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ACCDW-YOLO: an effective detection method for small-sized pests and diseases in navel oranges by Kai Wang, Youliang Chen, Hanzheng Sun

“…The incorporation of the DCNv3 module into the design creates the DCNv3-E-ELAN module, which enhances the model’s proficiency in detecting objects of varying sizes. The Wise Intersection over Union version 3 (WIoUv3) loss function was used to reduce the competitiveness of high-quality anchor boxes, reduce the harmful gradients generated by low-quality samples, and improve the overall performance of the model. …”
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Infrared spectrum target recognition and positioning technology based on image segmentation algorithm by Runming He, Yu Wang, Zhenzhong Yan, Xiaoli Lu

“…The experimental results show that the average intersection-over-union ratio of the proposed model in infrared image segmentation is 76. 6%, the comprehensive error of target positioning is only 1. 06 pixels, the average accuracy of military scene target recognition is as high as 88. 4%, and the comprehensive score in complex environments is 85. 3. …”
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IDENTIFICATION OF ELECTROMAGNETIC ULTRA LOW FREQUENCY (ULF) SIGNAL ANOMALIES AS PRECURSORS OF A MAGNITUDE 5 EARTHQUAKE IN THE SULAWESI REGION by Delfira Anggraini, Ratni Sirait, Lailatul Husna Lubis, Christofel Haposan Great Sibuea

“…Sulawesi is situated at the intersection of three tectonic plates the Indo-Australian, Eurasian, and Philippine plates. …”
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The use of big data in environmental quality monitoring and its impact on policy development: a bibliometric analysis by Sandi lubis, Achmad Nurmandi, Jamaluddin Ahmad, Eko Priyo Purnomo, Titin Purwaningsih

“…Developed findings show the growing intersection of data science, environmental policy, and artificial intelligence but remain relatively dormant in assessing the effectiveness of qualitative policy impacts, data-driven governance in practice, and policy formulation. …”
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The social consequences of climate change: a qualitative analysis of early girl child marriage as an informal adaptation strategy among rural communities in Northern Ghana by Loretta Adowaa Asare, John Boulard Forkuor

“…We place our analysis at the intersection of climate change, social protection, and the incidence of girl-child marriages. …”
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Leveraging Emerging Technologies to Document Abuses and Amplify Marginalised Voices in Conflict Zones: Lessons from Afghanistan by Murtaza Mohiqi

“…This article contributes to the growing interdisciplinary literature at the intersection of technology, human rights, and conflict by offering one of the first comprehensive analyses of how diverse digital tools function not only as evidentiary instruments but as mechanisms of empowerment and protection in fragile settings. …”
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Can blockchain revolutionize educational practices? an in-depth analysis of applications and challenges by Bhawna, Priya Gupta, Pratibha Rai

“…Blockchain technology has become a pivotal force at the intersection of information and communication technology (ICT) and education, offering significant benefits to academic institutions and various industries. …”
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Automatic detection of foreign object intrusion along railway tracks based on MACENet. by Xichun Chen, Yu Tian, Ming Li, Bin Lv, Shuo Zhang, Zixian Qu, Jianqing Wu, Shiya Cheng

“…Meanwhile, to improve localization robustness, the generalized intersection over union (GIoU) loss function is implemented, offering more reliable detection across various object sizes and shapes. …”
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Adaptive weight optimization with large pretraining for pest detection by Kejian Yu, Wenwen Xu, Fuqin Geng, Yunzhi Wu

“…In tests conducted on IP102 (36 species) and Pest24 (24 species), which are major agricultural pest datasets, the proposed model achieves average precisions of 65.8% and 76.3% at 50% Intersection over Union (IoU) threshold, respectively. …”
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Do Similar Objects Have Similar Grasp Positions? by Qi Sun, Lili He

“…Furthermore, we employed the widely adopted intersection-over-union (IoU) of grasp anchors to measure the grasp similarity between objects. …”
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Elucidating the associations and molecular mechanisms of perfluoroalkyl substances exposure with type 2 diabetes and its complications: A multifaceted approach by Xinghai Liu, Xin Wang, Li Wang

“…Results: PFOS exhibited a statistically significant positive association with the risk of diabetic retinopathy (DR) (P < 0.05, OR > 1). 200 intersection targets were obtained, among which EGFR, ESR1, and MMP9 were identified as core targets. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…Evaluation metrics include precision, recall, F1-score, specificity, Intersection over Union (IoU), and accuracy. The proposed model achieved superior performance compared to existing architectures such as AlexNet, DenseNet, MobileNetV3, and EfficientNet. …”
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Similarity measure and sine exponential measure of possibility interval-valued neutrosophic hypersoft sets and their applications by Eman Hussein,Yousef Al-Qudah, HM Jaradat, Faisal Al-Sharqi, Saja Elnajar, Ali Jaradat

“…Therefore, the axioms of set theory such as piv-NHS-subset, piv-NHS-null set, piv-NHS-absolute set and piv-NHSS-complement defined on this concept, as well as we investigated the union, intersection, AND, OR of two piv-NHSSs, and relevant laws, with the help of several numerical examples and piv-NHS-matrix representations. …”
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FMI and 2D seismic integration for fractured basement reservoir assessment, Geisum area, Gulf of Suez by Yousef Hendawy, Hassan H. Elkadi, Taher Mostafa

“…Quantitative analysis reveals a maximum fracture aperture of ~ 0.7 mm within the uppermost basement interval, correlating with enhanced porosity (φ) and permeability (k) zones. Fault intersection geometries were found to amplify fracture density, creating interconnected conduits that optimize reservoir quality. …”
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Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics by Shuang Liang, Xue Bai, Yu Gu

“…Our model demonstrates exceptional performance across five evaluation metrics: accuracy (0.9960), recall (0.9961), precision (0.9804), specificity (0.9975), and mean average precision (<i>mAP</i>) of 0.9400 at an Intersection over Union (IoU) threshold of 0.5. These results are achieved on a dataset generated by mixing both public and local data, highlighting the robustness and generalizability of the proposed approach. …”
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LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy by Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

“…It also provides insights by reviewing recent research on the intersection of LLMs, APTs, and 6G. Key challenges such as limitations in edge deployment, data scarcities, and explainability gaps are identified and a multidimensional taxonomy is provided in line with the APT lifecycle and 6G contexts. …”
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Performance of deep learning models for the classification and object detection of different oral white lesions using photographic images by Siribang-on Piboonniyom Khovidhunkit, Kunchidsong Phosri, Bhornsawan Thanathornwong, Dulyapong Rungraungrayabkul, Suvit Poomrittigul, Treesukon Treebupachatsakul

“…The best model for object detection is YOLOv7 with 84.5% mean Average Precision (mAP) at Intersection over Union (IoU) threshold of 0.3 and 74.5% at IoU of 0.5 on the test set. …”
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