Development of a PM2.5 Forecasting System Integrating Low-cost Sensors for Ho Chi Minh City, Vietnam by Nguyen Ky Phung, Nguyen Quang Long, Nguyen Van Tin, Dang Thi Thanh Le

“…A low-cost PM2.5 sensor connected to a LinkIt ONE, a development board for Internet of things (IoT) devices, was employed for calibration and verification. …”
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An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…To address these challenges, leveraging the Internet of Things (IoT) and quality inference techniques during transportation can provide valuable insights for both consumers and producers. …”
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Robust adaptive optimization for sustainable water demand prediction in water distribution systems by Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu

“…Abstract The advancement of the Internet of Things has positioned intelligent water demand forecasting as a critical component in the quest for sustainable water resource management. …”
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Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…Smart internet of things (IoT), with its high flexibility, adaptability, and continuous evolution, brings both new challenges and enhanced user experiences. …”
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NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…The novelty of this research lies in applying spatial sectorization to NOMA, showing that spatial sectorization can minimize intra-sector interference, improve power efficiency, and maintain reliable communication in high-demand environments such as the Internet of Things (IoT). This study provides valuable insights for optimizing NOMA systems, crucial for next-generation wireless networks.   …”
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Green growth: a bibliometric analysis of digital innovation and Sustainable Development Goals (SDGs) by Hephzibah Beula John, Mini Agrawal, Priyanka Nema, Arif Hasan, Isha Kaur Rakhra, Abhilasha Singh

“…Our findings reveal significant patterns in how digital innovations, such as artificial intelligence, blockchain, and the Internet of Things (IoT), are being leveraged to promote economic efficiency, resource conservation, and social equity—core tenets of green growth. …”
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An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…Abstract One of the widening perils in network security is the Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) ecosystem. This paper presents an enhanced Intrusion Detection System (IDS) through the proposal of an enhanced version of the long short-term memory (LSTM) model to detect DDoS attacks using honeypot-generated data. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…Abstract Denial of service (DoS) attacks occur more frequently with the progressive development of the Internet of things (IoT) and other Internet-based communication technologies. …”
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Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication by Hazem Ismail Ali, Harrison Kurunathan, Mohamed Hamdy Eldefrawy, Flavius Gruian, Magnus Jonsson

“…The Internet of Things (IoT) can be defined as the network of physical objects, or “things,” embedded with sensors and software for processing and exchanging data with other devices and ecosystems using the Internet as a medium. …”
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Freestanding VO2 membranes on epidermal nanomesh for ultra-sensitive correlated breathable sensors by Dongha Kim, Dongju Lee, Jiseok Park, Jihoon Bae, Aiping Chen, Judith L. MacManus-Driscoll, Sungwon Lee, Shinbuhm Lee

“…Abstract The interest in highly sensitive sensors is rapidly increasing for detecting very tiny signals for Internet of Things devices. Here, we achieve ultra-sensitive correlated breathable sensors based on freestanding VO2 membranes. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“… In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. …”
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Development of Environmental Action Plans for Adaptation to Climate Change: A Perspective of Air Quality Management by Han-Shi Chen, Kei-Iong Tam, Yu-Lin Zhao, Lan Yuan, Weiyi Wang, Merrisa Lin, Pen-Chi Chiang

“…In this study, a Climate Change Adaptation Plan concerning Air (CCAP-Air) is proposed based on the summary of policies and strategies in developed countries (United States, United Kingdom, Germany, Japan, and Australia), where five main strategies were suggested, including integrating the impacts of climate change on air quality into legislation, developing models to simulate the impacts of climate change on air quality, incorporating nature-based solutions into air quality management, considering AIoT (Artificial Intelligence Internet of Things) into climate change monitoring and governance, and establishing green finance system for tackling climate change. …”
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Nogo Osing Apps: Aplikasi Smart Farming Buah Naga Berbasis IoT by Maulida Dwi Agustiningsih, Putri Catur Ayu Lestari, Ravika Mutiara Savitrah, Arif Fahmi, Hamdan -

“…Salah satu strategi untuk mengoptimalkan suhu dan kelembaban tanah pada budi daya buah naga yaitu dengan mengaplikasikan Internet of Things (IoT).Pada penelitian ini dilakukan perancangan sistem monitoring dan kontrol pada budi daya buah naga dengan menerapkan teknologi IoT. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

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Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time by Elhoseny Mohamed, Hassan Ahmed, Shehata Marwa H., Kayed Mohammed

“…This research employs Internet of things (IoT) and deep learning methods to precisely recognize bites of Egyptian cobra, in the real-time, by analyzing images of the bite marks. …”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…Abstract With the fast growth of artificial intelligence (AI) and a novel generation of network technology, the Internet of Things (IoT) has become global. Malicious agents regularly utilize novel technical vulnerabilities to use IoT networks in essential industries, the military, defence systems, and medical diagnosis. …”
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CPW-Fed Dual Band Flexible Antenna for Energy IoT Applications at 380/940 MHz by Soyeong Lee, Sangjoon do, Hoosung Lee, Daeyeong Yoon, Yong Bae Park

“…In this paper, we present the design and fabrication of a dual-band flexible antenna for energy Internet of Things (IoT) applications operating at 380 MHz and 940 MHz. …”
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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Abstract Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. …”
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Throughout Maximization for IRS-Assisted WPCN With Hybrid TDMA-NOMA Scheme by Yizheng Ma, Ruoyi Wu, Yi Zhang, Yupeng Shang, Linzhen Zhu

“…A novel hybrid multiple access strategy is conceived, where the IRS set the time-division multiple access (TDMA) to allocate its phase shifts, each of which performs the non-orthogonal multiple access for multiple Internet of Things (IoT) devices. These devices firstly collect energy in a non-linear manner disseminated by a power station (PS) at downlink wireless energy transfer (WET) stage. …”
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