Results 121 to 130 of about 233,180 (285)

SIMECK-T: An Ultra-Lightweight Encryption Scheme for Resource-Constrained Devices

Applied Sciences
The Internet of Things produces vast amounts of data that require specialized algorithms in order to secure them. Lightweight cryptography requires ciphers designed to work on resource-constrained devices like sensors and smart things.
Alin-Adrian Anton, Petra Csereoka, Eugenia-Ana Capota, Răzvan-Dorel Cioargă   +3 more
doaj   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Advances in ultralightweight cryptography for low-cost RFID tags: gossamer protocol [PDF]

, 2009
Peris-Lopez, P., Arturo Ribagorda, Ribagorda, A., Pedro Peris-Lopez, Julio Cesar Hernandez-Castro, Hernandez-Castro, Julio, Juan M. E. Tapiador, Estevez-Tapiador, J.   +7 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Lightweight PQ KEM and Hybrid MQTT Protocol for 8-bit AVR Sensor Nodes

Transactions on Cryptographic Hardware and Embedded Systems
Most PQC schemes remain too resource-intensive for ultra-constrained 8-bit AVR wireless sensor nodes. In this work, we present a comprehensive approach to practical lightweight PQC for such devices, covering scheme design, implementation optimization ...
Yifan Dong, YoungBeom Kim, Jieyu Zheng, Zhichuang Liang, Boyue Fang, Seog Chung Seo, Maire O’Neill, Yunlei Zhao   +7 more
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Lightweight Cryptography for Passive RFID Tags [PDF]

, 2012
In 2011, we are entering a decade where Radio Frequency IDentification (RFID) systems will become ubiquitous, slowly but surely replacing its old ancestor: the barcode.
David, Mathieu
core  

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Acknowledgement to Reviewers of Cryptography in 2017

, 2018
Peer review is an essential part in the publication process, ensuring that Cryptography maintains high quality standards for its published papers.[...
Cryptography Editorial Office
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source