Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…An accuracy rate of 96.75 % is achieved with the LBP-RandomForestClassifier and, classification performance is also presented for each algorithm by creating hybrid feature vectors.…”
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A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

“…The routing layer quality of service in wireless sensor network depends on different indices such as throughput, delay, packet loss rate, energy consumption, and degree of congestion. …”
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Research on Longitudinal Intelligent Control of Autonomous-rail Rapid Tram by TANG Liang, SHEN Mengyu, XIAO Lei

“…According to the simulation results, using the developed longitudinal intelligent control algorithm, the test train can depart, accelerate, decelerate and stop stably following the train ahead, and automatically decelerate on curves and run passing traffic light intersections, with a speed control accuracy within ± 1 km / h, impact rate less than 0.75 m/s³, and alignment error for parking less than ± 0.21 m, demonstrating the effectiveness to reduce driving intensity for drivers, and improve the train running comfort and operating efficiency.…”
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South Africa's diminishing coal reserves by Chris Hartnady

“…Despite this doubling since to just over 8 Gt, the underlying pattern has been one of faltering growth. Hubbertarian analysis predicts a peak in production rate of about 284 Mt/yr in 2020, at which stage approximately half (12 Gt) of the total resource (23 Gt) will be exhausted. …”
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Design of a Small Modified Minkowski Fractal Antenna for Passive Deep Brain Stimulation Implants by Sara Manafi, Hai Deng

“…The performance metrics such as the return loss, the specific absorption rate (SAR), and the radiation pattern within skin and muscle-fat-skin tissues are evaluated for the designed antenna. …”
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Wafer-scale fabrication of solid-state nanopore array with a novel SpacerX process by Lihuan Zhao, Jiajun Wang, Lin-Sheng Wu, Xin Zhao

“…This technique is intrinsically scalable and features tunable nanopore dimensions, with an open-pore rate exceeding 99.9%, even in an academic cleanroom. …”
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Measuring the urbanization in Ukrainian regions: current approaches by Irina Gukalova, Natalia Omelchenko

“…In many post-Soviet countries a share of urban population does not reflect the penetration rate of «urban» conditions, of modern culture and comfort, but reflects concentration of industrial production. …”
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Retrospective Assessment of Antibiotics Prescribing at Public Primary Healthcare Facilities in Addis Ababa, Ethiopia by Fikru Worku, Dagmawit Tewahido

“…Conclusion. There was a high rate of antibiotics prescribing in the health centers often empirically which might exacerbate the antimicrobial resistance situation in the country. …”
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The transcription factor PbeNAC83 positively regulates the Valsa canker resistance in apple and pear by DOU Zhiqi, CAI Minrui, DU Chenglong, HU Huanhuan, ZUO Cunwu

“…After inoculation with Vp, the spread rate of Valsa canker disease was significantly inhibited. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Coping and positive mental health in Canada among youth and adults: findings from a population-based nationally representative survey by Mihojana Jhumi, Laura L. Ooi, Karen C. Roberts, Melanie Varin

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Evaluating the efficacy of Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis (iBEAT-OA) in the community: a study protocol for a randomised controlled trial by Abhishek Abhishek, Sameer Akram Gohir, Paul Greenhaff, Ana M. Valdes

“…The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). …”
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Subjective Performance Expectations From and Demographic and Categorical Differences in the Acceptance of Virtual Reality or AI Technologies in Rehabilitation Programs: Cross-Secti... by Guido Waldmann, Dominik Raab

“…A significant rank correlation was observed for 103 out of 105 pairwise comparisons of the therapeutic fields, with distinct patterns of effects sizes within the chosen categories. …”
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Autism spectrum disorder – the fight of the public against a disease it fails to understand by Minahel Ahmed, Eman Sikandar, Arysha Javid

“…Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. …”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…Moreover, in RPD patients, the Unified Parkinson’s Disease Rating Scale Part III score showed a negative correlation with the left ALPS index and with AI. …”
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Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management.…”
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A study on non-fermenting Gram-negative bacilli: their isolation and in vitro susceptibility in a tertiary care hospital in Central India by Preeti Sharma, Varsha Wanjare, Sunanda Shrikhande Zodpey

“…The aim of this study was to determine the isolation rate of NFGNB along with its susceptibility pattern in all the clinical samples. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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