TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks by Adir Krayden, M. Avraham, H. Ashkar, T. Blank, S. Stolyarova, Yael Nemirovsky

“…Demonstrated on a combustion-type gas sensor system (dubbed GMOS) for ethylene monitoring, our approach enables continuous, drift-corrected operation without the need for recalibration or dependence on cloud-based services, offering a generalizable solution for embedded environmental sensing—in food transportation containers, cold storage facilities, de-greening rooms and directly in the field.…”
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Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling by Jerifa Zaman, Atefeh Shoomal, Mohammad Jahanbakht, Dervis Ozay

“…This research not only highlights the continuous evolution of the supply chain field in light of Industry 4.0 technologies—such as machine learning, big data analytics, cloud computing, cyber–physical systems, and 5G networks—but also provides an updated overview of advanced IoT and AI technologies currently applied in supply chain operations, documenting their evolution from rudimentary stages to their current state of advancement.…”
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Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications by Moez Hizem, Leila Bousbia, Yassmine Ben Dhiab, Mohamed Ould-Elhassen Aoueileyine, Ridha Bouallegue

“…The optimized model achieved an accuracy of 92.3% while reducing the power consumption to 0.024 mW, enabling continuous, long-term health monitoring with minimal energy requirements. …”
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Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping by M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

“…Interpretability is achieved through SHAP analysis, which provides insight into the most influential environmental and demographic variables behind each prediction. A cloud-based architecture enables continuous data flow and live updates through a web dashboard and mobile alert system. …”
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Digital Transformation of HOTS Assessment in Elementary School Science Learning: Technological Challenges, Human Resource Readiness, and Contribution to SDG's Achievement by Nugroho Irham, Wilujeng Insih, Pujaningsih

“…This study recommends the development of cloud-based assessment tools and offline modules for schools with technological limitations, hybrid training for teachers, and integration of national policies that support HOTS-based assessment digitalization. …”
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A framework reforming personalized Internet of Things by federated meta-learning by Linlin You, Zihan Guo, Chau Yuen, Calvin Yu-Chian Chen, Yan Zhang, H. Vincent Poor

“…Abstract Advances in Artificial Intelligence envision a promising future, where the personalized Internet of Things can be revolutionized with the ability to continuously improve system efficiency and service quality. …”
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Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…It proposes the integration of edge cloud computing with real-time climate collection so that the condition of dynamic environment can be continuously analyzed. …”
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An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

“…With the continuous expansion of the orchard planting area, there is an urgent need for autonomous orchard vehicles that can reduce the labor intensity of fruit farmers and improve the efficiency of operations to assist operators in the process of orchard operations. …”
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Marketplaces as the basis of e-commerce: technological potential and investment horizons by S.V. Pokhylko, Y.S. Shvydka

“…In particular, special attention is paid to digital innovations and technologies that form the basis of their operations, including artificial intelligence (AI), blockchain, robotics, data analytics, Internet of Things (IoT) technologies, and cloud computing. The authors provide a detailed analysis of the role of these technologies in optimizing business processes and forecast their growth rates in the coming years. …”
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Multidecadal Land Use Patterns and Land Surface Temperature Variation in Sri Lanka by Randika K. Makumbura, Jayanga Samarasinghe, Upaka Rathnayake

“…In addition, LSTs were extracted for the same period. Significant and continuous increases can be seen in the agricultural lands from 33.94% (of total area) in 2000 to 43.2% in 2020. …”
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Integrated production-distribution planning optimization models: A review in collaborative networks context by Beatriz Andres, Raquel Sanchis, Jaques Lamothe, Leila Saari, Frederic Hauser

“…Enterprises, and especially SMEs, should be able to overcome the continuous changes of the market by increasing their agility. …”
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The evolution of civil society and the rule of law regarding female genital mutilation in Iraqi Kurdistan by Rebecca Cardone

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Co-Existence of Civilizations in the Global Era by Hans Köchler

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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Abstract With the continuous growth of global energy demand and the rapid development of renewable energy, traditional energy management systems are facing enormous challenges, especially in the scheduling and optimization of distributed energy. …”
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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

“…With the development and popularization of artificial intelligence technologies represented by deep learning, the security issues they continuously expose have become a huge challenge affecting cyberspace security. …”
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Emerging information communication technology trends in the construction industry: an overview by Gideon Olukunle Bamigboye, Mehmet Serkan Kirgiz

“…The findings underscore the critical need for continuous technological adoption and innovation to enhance efficiency, improve project outcomes, and reduce costs. …”
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Implementation of an Intelligent Trap for Effective Monitoring and Control of the <i>Aedes aegypti</i> Mosquito by Danilo Oliveira, Samuel Mafra

“…Field trials successfully validated and identified areas for continued improvement. The integration of technologies such as Internet of Things (IoT), cloud computing, big data, and artificial intelligence has the potential to revolutionize pest control, significantly improving mosquito monitoring and control. …”
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GSB: GNGS and SAG-BiGRU network for malware dynamic detection. by Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li, Siqing Zhuang

“…With the rapid development of the Internet, the continuous increase of malware and its variants have brought greatly challenges for cyber security. …”
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Using ultrasonic sensors to measure liquid level and density in computerized information and measurement systems by Yu.O. Podchashynskyi, O.S. Ishchenko

“…Modern industry places strict requirements on continuous monitoring and automation of processes involving liquid media. …”
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Influence of Sliding Structure on Water Flowing Fracture Zone and Surface Subsidence in the Antidip of Overlying Strata Area by Changsheng Song, Shuang Gong

“…Sliding structure refers to the process and result of rock deformation caused by the continuous downward sliding and cutting of the upper stratum under the influence of gravity. …”
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