Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency by Guowei Guo, Xinsen Yang, Ziwei Liang, Zeli Xi, Ximei Zhan, Peisong Li

“…Radio Frequency Identification (RFID) technology has become integral in various industries for automating processes and tracking items in real-time. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF THE INSURANCE MARKET by Maksym Dubyna, Olha Popelo, Maksym Shvets

“…The study of the modern model of the insurance services market was conducted, which was based on substantiating the essence of this model and identifying specific features of the functioning of the specified market. …”
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Use of Phenomics in the Selection of UAV-Based Vegetation Indices and Prediction of Agronomic Traits in Soybean Subjected to Flooding by Charleston dos Santos Lima, Darci Francisco Uhry Junior, Ivan Ricardo Carvalho, Christian Bredemeier

“…Additionally, variables predicted based on estimated genetic data via phenomics had determination coefficients above 0.90, enabling the reduction in the number of important variables within the linear model.…”
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Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis by Min Bao, Jianqian Chao, Na Zhang, Yanqian Wu

“…Objectives Early identification of fracture risk in patients with osteoporosis is essential. …”
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Accounting for Viewshed Area and Animal Availability When Estimating Density and Recruitment of Unmarked White‐Tailed Deer by Molly M. Koeck, Anna K. Moeller, R. Dwayne Elmore, W. Sue Fairbanks, M. Colter Chitwood

“…Many wildlife populations are comprised of individuals with no unique natural markers for individual identification, resulting in need for unmarked abundance models. …”
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Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

“…The established RiskScore model manifested excellent prognostic classification efficiency. …”
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Small and medium enterprises in regions - empirical and quantitative approach by Ladislav Mura, Zuzana Hajduová

“…Recognition and identification of the most important aspects that increase the financial efficiency of a rapidly changing business environment, especially in a difficult period of economic and tourism bounce back is a key issue. …”
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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…The recognition speed is 71 frames per second Compare to a variety of mainstream single-stage two-stage detection models, the proposed model demonstrated effective identification of cmopd targets with and without passengers, significantly improved the accuracy of cmopd recognition, reduced false positives and false negatives, and exhibited faster recognition speed and better extraction of contextual information. …”
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GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma by Hyung Seok Kim, Jung Hwan Yoon, Ji Yi Choi, Moon Gyeong Yoon, Geum Ok Baek, Minji Kang, Se Ha Jang, Won Park, Yunjin Go, Jestlin Tianthing Ng, Suk Woo Nam, Jee-Yeong Jeong, Ji Eun Han, Hyo Jung Cho, Su Bin Lim, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun

“…Background/Aims Hepatocellular carcinoma (HCC) is characterized by high recurrence and mortality, necessitating the identification of reliable biomarkers. In this study, we aimed to identify the predictive gene signatures for HCC recurrence and evaluate the efficiency of GULP PTB domain-containing engulfment adaptor 1 (GULP1) as a predictive and diagnostic marker and therapeutic target for HCC. …”
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Comprehensive evaluation and scenario simulation for determining the optimal conservation priority of ecological services in Danjiangkou Reservoir Area, China by Pengcheng Zhao, Lihui Wang, Yuhong Huang, Yifan Zhao, Qichi Yang, Jinliang Huang, Yun Du, Feng Ling

“…The identification of conservation priority for ecosystem services (ESs) holds paramount importance in harmonizing environmental sustainability with human well-being and bolstering sustainable resource management. …”
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An Integrated Risk Management Framework for Global Supply Chains by Mualla Gonca Avcı

“…These strategies are evaluated by simulation models in terms of their effectiveness and efficiency. …”
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On a special case of synthesis of metal turning process control system by Victor P. Lapshin, Tatyana S Babenko, Veronika V Khristoforova

“…The improvement of efficiency is possible through the introduction of new modern methods of the treatment process control. …”
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Twist-Induced Beam Steering and Blazing Effects in Photonic Crystal Devices by Nicolas Roy, Beicheng Lou, Shanhui Fan, Alexandre Mayer, Michaël Lobet

“…Our analysis is supported by a classical blazing model and a data-oriented statistical analysis. The data-oriented approach is steered by high-efficiency heuristic optimization method, which enabled the design of optimized devices demonstrating an efficiency above 90% across twist angles ranging from 0 to 30° for both TE and TM polarizations. …”
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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…The proposed framework implements, through machine learning, anomaly detection methods, classification techniques and feature selection methodologies, integrating these approaches to optimize the identification of potential cyber threats, improve model accuracy, and enhance computational efficiency in SCADA systems. …”
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Remote Monitoring and Diagnosis for Building Maintenance Units Based on Internet of Things System by Boqian Dong, Kai Liu, Chunli Lei, Ruizhe Song

“…A collaborative fault reasoning chain diagnosis model was established based on heterogeneous knowledge sources and real-time process signals, which increased the accuracy of fault identification to 97%. …”
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Unlocking the bottleneck in forward genetics using whole-genome sequencing and identity by descent to isolate causative mutations. by Katherine R Bull, Andrew J Rimmer, Owen M Siggs, Lisa A Miosge, Carla M Roots, Anselm Enders, Edward M Bertram, Tanya L Crockford, Belinda Whittle, Paul K Potter, Michelle M Simon, Ann-Marie Mallon, Steve D M Brown, Bruce Beutler, Christopher C Goodnow, Gerton Lunter, Richard J Cornall

“…Forward genetics screens with N-ethyl-N-nitrosourea (ENU) provide a powerful way to illuminate gene function and generate mouse models of human disease; however, the identification of causative mutations remains a limiting step. …”
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Detection of the Pin Defects of Power Transmission Lines Based on Improved TPH-MobileNetv3 by Mengxuan Li, Jingshan Han, Zhi Yang, Bin Zhao, Peng Liu

“…Moreover, compared with the mainstream algorithms with the same detection accuracy, this algorithm not only reduces the model size and significantly enhances detection efficiency but also satisfies the requirement of edge image processing of power inspection.…”
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Efficacy of High-Quality Nursing Service for the Patients during the Anesthesia Recovery Period: A Meta-Analysis by Hui Li, Heng Wang, Yan Pan, Qian Huang, Xueping Li, Xiaoqi Zeng, Li Zhou

“…We employed the fixed-effects model for evaluating the standardized mean differences (SMDs) with 95% confidence intervals (CIs). …”
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Water Reflections in the Mirror of the Mind: A Phenomenological Analysis of the Semnan Water Market by Seyed Abbas Ebrahimi

“…The implementation of a water market scheme in Semnan province, as a novel approach to water resource management, has provided unique opportunities to enhance efficiency and create balance in water resource utilization. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…Additionally, they lack interpretability, operating efficiently with limited resources, and root cause identification. …”
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