The Automatic Joint Teeth Segmentation in Panoramic Dental Images using Mask Recurrent Convolutional Neural Networks with Residual Feature Extraction: by Raghavendra H. Bhalerao, Abhijeet Ashok Salunke, Shristi Sharan, Kamlesh Kumar, Priyank Rathod, Prince Kumar, Manish Chaturvedi, Nandlal Bharwani, Krupa Shah, Dhruv Patel, Keval Patel, Vikas Warikoo, Manisha Abhijeet Salunke, Shashank Pandya

“…Segmented images can be used to evaluate periodic changes, providing valuable data for assessing the progression of oral cancer and the efficacy of management.Future research should focus on developing  less complex, lightweight, and faster vision models while maintaining high accuracy. …”
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Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

“…Abstract Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. …”
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Improvement of the perovskite photodiodes performance via advanced interface engineering with polymer dielectric by Andrey P. Morozov, Lev O. Luchnikov, Sergey Yu. Yurchuk, Artur R. Ishteev, Pavel A. Gostishchev, Sergey I. Didenko, Nikita S. Saratovsky, Dmitry O. Balakirev, Ivan V. Dyadishchev, Andrey A. Romanov, Ekaterina A. Ilicheva, Anton A. Vasilev, Sergey S. Kozlov, Dmitry S. Muratov, Yuriy N. Luponosov, Danila S. Saranin

“…Halide perovskite-based photodiodes are promising for efficient detection across a broad spectral range. …”
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AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

“…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts by Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

“…The optimized agents adapt effectively to dynamic environments, ensuring timely detection of critical health deviations. Comparative evaluations reveal superior performance in metrics related to decision-making accuracy and response efficiency, highlighting the robustness of the framework. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Conclusion: Digital technology has demonstrated its pivotal role in strengthening public health surveillance during the pandemic, improving efficiency, accuracy, and capacity in pandemic response. …”
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Unit Size Determination for Exploratory Brain Imaging Analysis: A Quest for a Resolution-Invariant Metric by Jihnhee Yu, HyunAh Lee, Zohi Sternberg

“…Defining an adequate unit size is often crucial in brain imaging analysis, where datasets are complex, high-dimensional, and computationally demanding. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…This method utilizes DLA-60 (deep layer aggregation) as the core network to ensure detection accuracy and speed, and it integrates an efficient channel attention (ECA) mechanism to boost feature extraction capability. …”
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SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes by Rasha Alshawi, Md Meftahul Ferdaus, Md Tamjidul Hoque, Kendall Niles, Ken Pathak, Steve Sloan

“…This article introduces the semantic Haar-adaptive refined pyramid network (SHARP-Net), a novel architecture for semantic segmentation that delivers precise and efficient defect detection. SHARP-Net combines multiscale feature fusion, depthwise separable convolutions, and fine-tuned Haar-like features to enhance performance while reducing computational complexity. …”
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Maximum Butterfly Generators Search in Bipartite Networks by Jianrong Huang, Guangyao Pang, Fei Hao

“…Particularly, maximum butterfly as a special cohesive subgraph of bipartite graphs, is playing an critical role in many promising application such as recommendation systems and research groups detection. Enumerating maximal butterfly has been proved to be a NP-hard and suffers time and space complexity. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…Detecting the presence of alcohol in individuals poses a significant challenge due to the limitations of conventional devices that rely on odor, which is not always reliable. …”
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Intelligent Collaborative Event Query Algorithm in Wireless Sensor Networks by Rongbo Zhu

“…Event query processing is a very important issue in wireless sensor networks (WSNs). In order to detect event early and provide monitoring information and event query timely in WSNs, an efficient intelligent collaborative event query (ICEQ) algorithm is proposed, in which sensor nodes that are near to the boundary of events are selected to accomplish complex event monitoring and query processing through intelligent collaboration. …”
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Monitoring the changes of a suburban settlement by remote sensing by LÁSZLÓ NAGYVÁRADI, PÉTER GYENIZSE, ANITA SZEBÉNYI

“…Aerial photos can also be used to collect complex spatial data as well as to detect various temporal changes on the land surface, such as construction of illegal edifices and waste dumps. …”
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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…This work sets a new standard in AI-text detection methodologies, enhancing reliability, efficiency, and scalability for real-world applications.…”
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Balneotherapy for the treatment of post-COVID syndrome: a randomized controlled trial by Diana Ovejero, Anna Ribes, Judit Villar-García, Marta Trenchs-Rodriguez, Daniel Lopez, Xavier Nogués, Robert Güerri-Fernandez, Natalia Garcia-Giralt

“…After BT, significant improvement was detected in the BT group vs. the control group in various SF-36 domains, PSQI total score (Beta-coefficient [95%CI] 2.641 [1.15;4.12]; p -value = 0.003), HAD’s anxiety subscale (Beta-coefficient [95%CI] 1.72 [0.40;3.03;p-value = 0.023), and VAS (Beta-coefficient [95%CI] 1.625 [0.32;2.96]; p-value = 0.026). …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…However, aggressive quantization significantly increases detection complexity—particularly for high-order modulation schemes—due to elevated noise and interference. …”
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Pseudoexhaustive memory testing based on March A type march tests by V. N. Yarmolik, I. Mrozek, S. V. Yarmolik

“…Multiple March tests are highlighted to detect complex pattern-sensitive memory faults. To detect them, the necessary condition that test procedures must satisfy to deal complex faults, is substantiated. …”
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IoT-based cloud monitoring system for building fires by Pan Guanhong, Xie Yanzhang, Yang Qingping

“…It assists in planning evacuation routes based on fire location, enhancing safety and efficiency. Laboratory and field tests confirm reliable performance, and the novel system will find applications in smart fire detection and prevention.…”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

“…Compared with existing methods, the proposed approach not only enhances detection accuracy and efficiency but also provides a practical and reliable solution for real-time monitoring of engine oil seal assembly dimensions, highlighting its substantial industrial application potential.…”
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基于数字图像比色法的食用油酸价检测研究Determination of acid value of edible oil by digital image colorimetry-based method by 李跃凡1，马改琴1，王媛媛1，张帆2，于修烛1LI Yuefan1, MA Gaiqin1, WANG Yuanyuan1, ZHANG Fan2, YU Xiuzhu1

“…综上，数字图像比色法简单、便捷，可用于食用油酸价的检测。 Aiming to detect the acid value of edible oil simply and conveniently, a method based on digital image colorimetry for the detection of acid value of edible oil was established. …”
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