Fungal infections in burns: Diagnosis and management by Capoor Malini, Sarabahi Sujata, Tiwari Vinay, Narayanan Ravi

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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Additionally, a vehicle counting module assesses the number of vehicles in specified areas, and a size assignment process estimates Green Signal Time based on Spatial Occupancy calculations. …”
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Investigating the Influences of Self Esteem on Student’s Academic Performance in English Language: A Case Study of Secondary Schools in Rubanda. by Ahurira, Divotter

“…Among the challenges faced by students with low self-esteem in English language learning, the most common issue identified was a lack of basic communication skills, which hinders students' progress in mastering these skills. …”
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Design of Solid Tire Power Screw Press Machine. by Wabwire, Ebenezer Emmanuel

“…Once dislodging is complete, the motor is switched off, and the tire and rim are removed by the operator. The process can then be repeated for additional tires. …”
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Mentorship and supervision in Ugandan higher education institutions universities: challenges and prospects by John Michael, Edoru, Adebayo, Sanni T.

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Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification by Hongyan Zhu, Dani Wang, Yuzhen Wei, Xuran Zhang, Lin Li

“…Compared to traditional methods, the algorithm (integrating transfer learning Alexnet, VGG, and Resnet) we proposed can address the issues of limited categories, slow processing speed, and low recognition accuracy. …”
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Blockchain-Powered LSTM-Attention Hybrid Model for Device Situation Awareness and On-Chain Anomaly Detection by Qiang Zhang, Caiqing Yue, Xingzhe Dong, Guoyu Du, Dongyu Wang

“…The model utilizes an encoder–attention–decoder architecture for processing multivariate time series data generated by industrial sensors and smart contracts for automated on-chain data verification and tampering alerts. …”
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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…Smart fisheries, integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and image processing, are pivotal in enhancing aquaculture efficiency, sustainability, and resource management by enabling real-time environmental monitoring, precision feeding, and disease prevention. …”
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Working conditions and values of average annual effective doses for nondestructive testing operators in the Russian Federation and abroad by S. Yu. Bazhin, E. N. Shleenkova, V. Yu. Bogatyreva

“…The difference in the name of the specialty of the studied group of personnel in Russian and English and the difference in the processing of primary measuring information in domestic and foreign sources of information are taken into account. …”
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Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

“…Deep learning and edge computing are the emerging technologies, which are used for efficient processing of huge amount of data with distinct accuracy. …”
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Effects of Pregelatinization on the Physicochemical Properties of Corn Grits and the Quality of Cooked Waxy Corn Wrapped in Plant Leaves by Yi Wang, Ruixuan Li, Yijiao Yan, Wanyi Niu, Yue Wang, Mingyi Shen, Ruifang Wang, Li Cheng

“…This investigation was conducted to address the issues of partial gelatinization and poor texture in corn grits when applied to food processing such as cooked waxy corn wrapped in plant leaves. …”
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A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging by Jian Lin, Qiurong Yan, Quan Zou, Shida Sun, Zhen Wei, Hua Du

“…However, conventional reconstruction algorithms suffer from issues such as long processing time and low reconstruction accuracy during the sampling and reconstruction processes. …”
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Metabolic Variations in Bamboo Shoot Boiled Liquid During <i>Pediococcus pentosaceus</i> B49 Fermentation by Juqing Huang, Meng Sun, Xuefang Guan, Lingyue Zhong, Jie Li, Qi Wang, Shizhong Zhang

“…Bamboo shoot boiled liquid (BSBL), a processing byproduct containing soluble proteins, peptides, amino acids, carbohydrates, and phenolics, is typically discarded, causing resource waste and environmental issues. …”
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Predisposal Radioactive Waste Management (PREDIS) Project Final Achievements and Impacts Overview by Holt Erika, Oksa Maria, Banford Anthony, Carbol Paul, Abdelouas Abdesselam, Giboire Isabelle, Mennecart Thierry, Niederleithinger Ernst

“…Over the 4-year duration, this Euratom project of 47 partners from 17 Member States has worked in close collaboration with 25 End User industrial members to advance the technologies associated with predisposal issues. This has included characterisation followed by treatment, conditioning and processing of metallics, liquid organic and solid organic wastes as well as with digitalization technologies for assessing performance of concrete waste packages and pre-disposal storage. …”
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The DOA Estimation Algorithm Based on Virtual Domain Block Matching for Nested Arrays in the Presence of Mutual Coupling by Shun He, Nan Sun, Zhiwei Yang, Le Qin

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Evaluating the efficacy of Amanda: A voice-based large language model chatbot for relationship challenges by Laura M. Vowels, Shannon K. Sweeney, Matthew J. Vowels

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Google Location History as an Alternative Data Source for Understanding Travel Behavior in Medan, Binjai, and Deli Serdang (Mebidang), Indonesia by Arif Wismadi, Mohamad Rachmadian Narotama, Gary Haq, Steve Cinderby, Deni Prasetio Nugroho, Jan Prabowo Harmanto

“…This study uses a new approach in GLH data collection and data processing. Data were collected from 420 respondents in Medan, Binjai, and Deli Serdang (Mebidang) in Indonesia, to examine urban travel patterns, including trip distances, modes, and purposes, while addressing issues of data accuracy, privacy, and representation. …”
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Optimizing data privacy and security measures for critical infrastructures via IoT based ADP2S technique by Zhenyu Xu, Jinming Wang, Shujuan Feng, Salwa Othmen, Chahira Lhioui, Aymen Flah, Zdenek Slanina

“…These infrastructures must have robust security measures to protect the privacy of the user data transmitted to the processing systems that utilize them. However, data loss and complexities are significant issues when handling enormous data in IoT applications. …”
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An Intelligent System for Medical Oxygen Consumption Management Using Oximetry and Barometry by Abbas Izadi, Hadi Ghasemifard, Mohamad Amin Bakhshali, Nadia Roudsarabi, Omid Sarrafzadeh

“…The machine learning algorithms used in the system have the potential to improve patient safety by identifying potential issues in the oxygen supply chain before they become critical.  …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…However, they encounter several challenges, including training data imbalance, complex environment interference, real-time processing issues and application device limitations. …”
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