IoT-based home control system using NodeMCU and Firebase by Paul Oluwatobiloba Ayeni, Olayiwola Charles Adesoba

“…  Integrating Internet of Things (IoT) technology in home control systems has led to a significant advancement in the control and monitoring of home appliances and environmental conditions. …”
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Brush-Painting and Photonic Sintering of Copper Oxide and Silver Inks on Wood and Cardboard Substrates to Form Antennas for UHF RFID Tags by Erja Sipilä, Johanna Virkki, Jianhua Wang, Lauri Sydänheimo, Leena Ukkonen

“…The need to integrate electronics into environmentally friendly components and structures increases dramatically together with the increasing popularity of the Internet of Things. We demonstrate a novel brush-painting method for depositing copper oxide and silver inks directly on wood and cardboard substrates and discuss the optimization of the photonic sintering process parameters for both materials. …”
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Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System by Paul Brous, Marijn Janssen, Paulien Herder

“…Organizations are increasingly looking to adopt the Internet of Things (IoT) to collect the data required for data-driven decision-making. …”
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Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains by Maryam Vahabi, Vikram Gupta, Michele Albano, Raghuraman Rangarajan, Eduardo Tovar

“…The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. …”
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LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification by Nimisha Ghosh, Sankar Kumar Mridha, Rourab Paul

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A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learni... by Mazin A. M. Al Janabi

“…In addition, they can be applied to artificial intelligence and machine learning for the policymaking process, reinforcement machine learning techniques for the Internet of Things (IoT) data analytics, expert systems in finance, FinTech, and within big data ecosystems.…”
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A Biologically Inspired and Protein-Based Bio-Cyber Interface for the Internet of Bio-Nano Things by Pit Hofmann, Juan A. Cabrera, Gunnar Schulte, Frank H.P. Fitzek

“…The Internet of Things (IoT) has changed the way how we interact with our physical environment, enabling connectivity and communication between physical and virtual entities, e.g., for digital twin applications. …”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…Some models integrate with Internet of Things (IoT) frameworks or federated learning for real-time diagnostics and privacy, often paired with optimization algorithms. …”
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MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling by Wei Gu, Hongyan Xing, Tianhao Hou

“…The continuous malicious attacks on Internet of Things devices pose a potential threat to the economic and private information security of end-users, especially on the dominant Android devices. …”
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Understanding the relationship, trends, and integration challenges between lean manufacturing and industry 4.0. A literature review by Tariq Benslimane, Rajaa Benabbou, Salma Mouatassim, Jamal Benhra

“…The  results  show  three  main  trends:  combining  Industry 4.0 technologies, especially the Internet of Things, with Lean Manufacturing principles to make things more efficient and productive; highlighting the important role of Lean Manufacturing and Industry 4.0 in tackling sustainability issues and encouraging eco-friendly practices; and combining Lean principles with Industry 4.0 as a step toward Industry 5.0. …”
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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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Hybridized triboelectric nanogenerators for simultaneously scavenging droplet and wind energies by Chaosheng Hu, Chengmin Bao, Yang Liu, Yingzhan Yan, Yingzhan Yan, Yanan Bai, Qian Xu, Qian Xu

“…This work enables the harvesting of dispersed wind and droplet energy from the environment, providing new ideas and possibilities for online monitoring in remote areas and the construction of Internet of Things systems.…”
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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

“…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
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Autonomous, Multisensory Soil Monitoring System by Valentina-Daniela Băjenaru, Simona-Elena Istrițeanu, Paul-Nicolae Ancuța

“…The primary objective is to develop an innovative soil monitoring system utilizing Internet of Things (IoT) technology. This system, equipped with intelligent sensors, will operate autonomously, collecting real-time data to identify key trends in soil conditions. …”
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Verifiable computation scheme of batch matrix multiplication based on triple perturbation and linear combination by ZHANG Tianpeng, REN Zhiyu, DU Xuehui, WANG Haichao

“…With the development of cloud computing and internet of things technology, verifiable computing has been widely used as a new computing technology. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…The method is evaluated on the Secure Water Treatment (SWaT), Hardware-in-the-loop-based augmented ICS security (HIL-HAI), and Internet of Things Modbus dataset using precision, recall, and F-1 score metrics. …”
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An IoT-Based Home Energy Management System over Dynamic Home Area Networks by Jongbae Kim, Jinsung Byun, Daebeom Jeong, Myeong-in Choi, Byeongkwan Kang, Sehyun Park

“…Therefore, this paper proposes an Internet of Things- (IoT-) based HEMS with lightweight photovoltaic (PV) system over dynamic home area networks (DHANs), which enables the construction of a HEMS to be more scalable, reusable, and interoperable. …”
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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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Security Risks and Designs in the Connected Vehicle Ecosystem: In-Vehicle and Edge Platforms by Marco De Vincenzi, John Moore, Bradley Smith, Sanjay E. Sarma, Ilaria Matteucci

“…To mitigate these risks, we retrieve solutions drawn from the broader field of Internet of Things (IoT) security research, including Multi-Factor Authentication (MFA) and trust-based systems. …”
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Health and Production Performance of Broiler strain Cobb with Closed House IoT system in Cimahpar, Bogor by Ridi Arif, Agus Widiatmoko, Dina Nurzuliana

“…The purpose of this study was to observe the performance of strain cobb broilers reared in a closed house system supported by the Internet of Things (IoT). A total of 12,000 DOC were divided into 2 types of cages and 2 maintenance periods. …”
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