Results 111 to 120 of about 9,567,163 (289)

Machine–to–machine communications energy efficiencies: the implications of different M2M communications specifications [PDF]

, 2015
The energy inefficiency of electronic devices is the major limiting factor for the adoption of these devices in Machine–to–Machine Communications (M2M)/Internet of Things (IoT).
Turner, Scott J, Picton, Philip, Ajah, Sylvester, Al-Sherbaz, Ali   +3 more
core   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems [PDF]

, 2019
Ensuring an effective coexistence of conventional broadband cellular users with machine type communications (MTCs) is challenging due to the interference from MTCs to cellular users. This interference challenge stems from the fact that the acquisition of
Rajatheva, Nandana, Saad, Walid, Ali, Samad, Asgharimoghaddam, Hossein, Haapola, Jussi   +4 more
core   +1 more source

Ultrathin Aluminum–Air Batteries via Hygroscopic Electrolytes for Continuous Operation of Imperceptible On‐Skin Electronics

Advanced Energy Materials, EarlyView.
This study presents ultrathin, high‐capacity aluminum‐air batteries (AABs) for self‐sustaining, skin‐conformal electronics. By utilizing ambient moisture and oxygen alongside a LiCl‐based hygroscopic hydrogel electrolyte, the design significantly reduces battery thickness while preventing dehydration and Al self‐corrosion.
Jaeil Park, Inho Lee, Namhee Kim, Wonseok Shin, Joo Sung Kim, Daegun Kim, Giwon Lee, Jinhan Cho, Hoon‐Hee Ryu, Myung‐Han Yoon, Seung Joon Yoo, Woo‐Jin Song, Sungjun Park   +12 more
wiley   +1 more source

Context-aware Machine-to-Machine communications

, 2014
As a key enabler of Internet of things, cellular network based Machine-to-Machine (M2M) communications have been growing rapidly in recent years, being used in a wide range of services such as security, metering, health, remote control, tracking, and so ...
Javier Mendonca Costa, Guowang Miao, Miao, Guowang,, Costa, Javier Mendonca,   +3 more
core   +1 more source

Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks

IEEE Access
We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation.
Jamil de Araujo Farhat, Jean Michel de Souza Sant'Ana, Joao Luiz Rebelatto, Nurul Huda Mahmood, Gianni Pasolini, Richard Demo Souza   +5 more
doaj   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Device-Level Energy Efficient Strategies in Machine Type Communications: Power, Processing, Sensing, and RF Perspectives [PDF]

The objective of our work is to provide an in-depth analysis and compilation of device-level strategies for enhancing the energy efficiency of Machine-Type Communication (MTC).
Ntabeni, Unalido, Alves, Hirley, Chuma, Joseph, Basutli, Bokamoso   +3 more
core   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source