Results 1 to 10 of about 368,953 (215)

Symptom‐Based Machine Learning Framework for Early Syndrome Coronavirus 2 (SARS‐CoV‐2) Infection Prediction

Applied AI Letters, Volume 8, Issue 1, February 2027.
This graphical abstract illustrates a symptom‐based machine learning framework for early prediction of SARS‐CoV‐2 infection. Clinical inputs such as SpO2, fever, cough, fatigue, and comorbidities are collected and preprocessed, followed by feature selection using a random forest‐based recursive elimination method.
Abdul Manan Koli, Syed Immamul Ansarullah, Ab Rashid Dar, Khair Ul Nisa, Anurag Sinha, Sami Alshmrany, Ravi Shankar Kumar, Mohd Asif Shah, Shreyash Srivastva, Amar Jeet   +9 more
wiley   +1 more source

Memristor‐Based Neuromorphic Computing for Intelligent Sensing and Edge Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor‐based neuromorphic computing provides a promising foundation for energy‐efficient edge intelligence by integrating in‐memory computing, brain‐inspired neural networks, and in‐sensor processing. Memristive devices can emulate neurons and synapses, enabling compact crossbar architectures with reduced data movement, low power consumption, and ...
Hanrui Li, Nazek El‐Atab
wiley   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

Certificateless Multi-Party Authenticated Encryption for NB-IoT Terminals in 5G Networks

IEEE Access, 2019
With the integration of Narrowband Internet of Things (NB-IoT) technology coming into our lives, more and more NB-IoT terminals are connected to the network to meet various requirements of users.
Yinghui Zhang, Fangyuan Ren, Axin Wu, Tiantian Zhang, Jin Cao, Dong Zheng   +5 more
doaj   +1 more source

A Leakage‐Aware Comparative Evaluation of Machine Learning Models for Voice‐Based Parkinson's Disease Screening, With External Validation on an Independent Cohort

Engineering Reports, Volume 8, Issue 11, November 2026.
Voice‐based Parkinson's screening models routinely report > 95% accuracy because repeated recordings per participant leak speaker identity across random splits. Under leakage‐free, repeated grouped cross‐validation, performance falls to 0.86 AUC. External validation on an independent cohort shows partial discrimination but complete calibration failure,
Sayed Mahamod Twki, Md Rakibul Islam Fahim, Habibullah Mohammad Masum   +2 more
wiley   +1 more source

Cold Gas Sprayed Titanium Coating for Corrosion Protection of Bipolar Plates in Proton Exchange Membrane Water Electrolysis

Materials and Corrosion, Volume 77, Issue 11, Page 1919-1927, November 2026.
Climate‐neutral green hydrogen is produced via water electrolysis using renewable energy. This study explores using cold gas spraying to apply titanium coatings on steel bipolar plates for proton exchange membrane water electrolyzers. The coating shows effective corrosion protection, presenting a promising solution for future designs.
Kirsten Bobzin, Marvin Erck, Kevin Jasutyn, Katja Radermacher   +3 more
wiley   +1 more source

The evolution of NB-IoT standard system and development of Internet of things industry

物联网学报, 2018
Looking at the development of the Internet of things industry system,the birth of NB-IoT standard is the inevitable product of the development of the Internet of things.But in the development process of NB-IoT standard,it has gone through the business ...
Yunzhou XIE
doaj   +2 more sources

Future of edge AI in biodiversity monitoring

Methods in Ecology and Evolution, Volume 17, Issue 11, Page 3050-3075, November 2026.
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet, Kate E. Jones, Duncan Wilson   +2 more
wiley   +1 more source

A survey on LPWA technology: LoRa and NB-IoT

ICT Express, 2017
By 2020, more than twenty five billion devices would be connected through wireless communications. In accordance with the rapid growth of the internet of things (IoT) market, low power wide area (LPWA) technologies have become popular.
Rashmi Sharan Sinha, Yiqiao Wei, Seung-Hoon Hwang   +2 more
doaj   +1 more source