Results 51 to 60 of about 1,805 (172)

Smart Agriculture Through Internet of Things and Machine Learning: A Survey of Monitoring Techniques, Methods and Applications

IET Wireless Sensor Systems, Volume 16, Issue 1, January/December 2026.
This article surveys the integration of the Internet of things (IoT) and machine learning (ML) in agricultural monitoring, highlighting their role in data collection, analysis and decision‐making for smart farming. It reviews application domains, data collection strategies, network architectures and learning methods whilst identifying key challenges ...
Ado Adamou Abba Ari, Emmanuel Baba, Hamayadji Abdoul Aziz, Khouloud Boukadi, Ousmane Thiare, Abdelhak Mourad Gueroui   +5 more
wiley   +1 more source

Peer-to-peer botnets: exploring behavioural characteristics and machine/deep learning-based detection

EURASIP Journal on Information Security
The orientation of emerging technologies on the Internet is moving toward decentralisation. Botnets have always been one of the biggest threats to Internet security, and botmasters have adopted the robust concept of decentralisation to develop and ...
Arkan Hammoodi Hasan Kabla, Achmad Husni Thamrin, Mohammed Anbar, Selvakumar Manickam, Shankar Karuppayah   +4 more
doaj   +1 more source

Large‐Scale Benchmarking of Intrusion Detection Datasets With GPU‐Accelerated Data Pipelines, Complexity Analysis, and Model Evaluation

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Intrusion detection systems (IDSs) are critical for identifying malicious activity in computer networks; however, the evaluation of machine learning (ML)–based IDS remains inconsistent and fragmented. Many existing studies rely on outdated datasets, neglect computational complexity, or use limited performance metrics.
Marcelo V. C. Aragão, Felipe A. P. de Figueiredo, Samuel B. Mafra, Kallol Mohanta   +3 more
wiley   +1 more source

A Proposed Method for TCAM Optimization in SDN

Journal of Computer Networks and Communications, Volume 2026, Issue 1, 2026.
OpenFlow, a key data plane protocol in software‐defined networking (SDN), relies heavily on ternary content addressable memory (TCAM) to achieve high‐speed packet matching. However, as OpenFlow evolves to support a broader set of match fields, the demand for TCAM storage grows significantly due to its support for arbitrary wildcards.
Tariq Emad Ali, Csaba Biro, Dhulfiqar Zoltan Alwahab, Jaafar Gaber   +3 more
wiley   +1 more source

A Review of the Internet of Things (IoT) Landscape: Technologies, Applications, and Open Challenges

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
The Internet of Things (IoT) has emerged as a large‐scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industrial automation, and smart cities, where heterogeneous devices are required to operate under strict performance, reliability, and ...
Sidna Jeddou, Luis Diez, Amine Baina, Najid Abdellah, Ramón Agüero, Deepali   +5 more
wiley   +1 more source

ECO‐MOVE: Energy and Cost Optimization in Mobility‐Aware Virtual Environment for Sustainable Wireless Sensor Networks

Journal of Sensors, Volume 2026, Issue 1, 2026.
In dynamic environments where sensor nodes experience rapid energy depletion, wireless sensor networks (WSNs) face persistent challenges related to energy efficiency and long‐term sustainability. This study introduces ECO‐MOVE, a sensitivity‐aware and energy‐efficient mobility framework that integrates predictive energy management with a real‐time ...
Bindu Kumari, Santosh Soni, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong   +4 more
wiley   +1 more source

Internet of Things (IoT) and the Environmental Sustainability: A Literature Review and Recommendations for Future Research

Corporate Social Responsibility and Environmental Management, Volume 32, Issue 6, Page 7648-7670, November 2025.
ABSTRACT As the Internet of Things (IoT) surges forward, intersecting with an urgent demand for environmental sustainability (ES), digital technologies emerge as potent orchestrators of systemic transformation. Employing a subtle blend of bibliometric‐systematic literature review (B‐SLR) and qualitative insights, this research investigates IoT's ...
Giuseppe Lanfranchi, Antonio Crupi, Fabrizio Cesaroni   +2 more
wiley   +1 more source

Overcoming obstacles to IPv6 on WLCG [PDF]

EPJ Web of Conferences
The transition of the Worldwide Large Hadron Collider Computing Grid (WLCG) storage services to dual-stack IPv6/IPv4 is almost complete; all Tier-1 and 94% of Tier-2 storage are IPv6 enabled.
Babik Marian, Bly Martin, Buraglio Nick, Chown Tim, Christidis Dimitrios, Chudoba Jiri, DeMar Phil, Flix Molina José, Grigoras Costin, Hoeft Bruno, Ito Hiro, Kelsey David, Martelli Edoardo, McKee Shawn, Misa Moreira Carmen, Nandakumar Raja, Ohrenberg Kars, Prelz Francesco, Rand Duncan, Sciabà Andrea, Skirvin Tim   +20 more
doaj   +1 more source

MobStream: A Reinforcement‐Driven Mobile Streaming Methodology Over Multipath QUIC

Transactions on Emerging Telecommunications Technologies, Volume 36, Issue 10, October 2025.
To address the issue of reduced performance caused by the differences in path quality between WiFi and cellular networks, MobStream incorporates partial reliability and a layered coding scheme, paving the way to adapting to varied network conditions without harming the bandwidth utilization.
Yan Cui, Zongzheng Liang, Zicong Huang, Peng Guo, Shijie Jia   +4 more
wiley   +1 more source

Enhancing Cardiovascular Disease Analysis in Healthcare Systems With Hybrid Random Forest and Neural Network Algorithm

Engineering Reports, Volume 7, Issue 9, September 2025.
Enhancing Cardiovascular Disease Analysis in Healthcare Systems ABSTRACT Cardiovascular diseases (CVDs) remain a critical challenge in healthcare, requiring advanced analytical solutions for improved diagnosis and risk management. This study proposes a hybrid machine learning framework combining Random Forest (RF) and Neural Network (NN) algorithms to ...
M. Chandraman, N. Santhiyakumari, K. V. M. Shree, Malathi Murugesan, S. Kumarganesh, P. Rishabavarthani, B. Thiyaneswaran, K. Martin Sagayam, Digvijay Pandey, Binay Kumar Pandey, Suresh Kumar Sahani   +10 more
wiley   +1 more source