Search Results - "Power aware computing"

Darwinian Wiring: A Connectome-Constrained Structural Plasticity Framework for Extreme Model Compression.

Authors: Tang, Lixing Zhong, Shaohong Gao, Wentao et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1719. 32p.

Subjects: Remote sensing, Power aware computing, Object recognition (Computer vision), Machine learning, Artificial neural networks, Functional connectivity

Implementation of a multi-sensor platform for resource localization using ultra-wideband and time-of-flight measurement methods.

Authors: Styła, Michał Gnaś, Dominik Bogusz, Adam et al.

Source: Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 5, p254-267, 14p

A Tiki-Taka-Inspired SOT-MRAM In-Memory Computing Architecture for Long-Term Edge Learning.

Authors: Li, Yu Dong, Fengjun Xing, Guozhong

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4326, 17p

Low-power differencing feature extracts spiking-band activities for high-performance intracortical brain-computer interfaces.

Authors: Xu, Guangxiang Yu, Chenbin Shao, Gengrong et al.

Source: Communications Biology. 4/29/2026, Vol. 9 Issue 1, p1-12. 12p.

A Robust Smart Grid-Aware Cloud Computing Framework for Sustainable Energy Management.

Authors: Mamodiya, Udit Kishor, Indra Mudholkar, Pankaj et al.

Source: International Journal of Advances in Soft Computing & Its Applications; Mar2026, Vol. 18 Issue 1, p396-433, 38p

Study on Progress Towards Carbon Nanotube Adder Circuits Capable of Energy Efficient Computing in Integrated Systems.

Authors: DHOLVAN, MOHAN CHAKALI, CHANDRASEKHAR K., NAGENDRAKUMAR et al.

Source: Journal of Active & Passive Electronic Devices; 2026, Vol. 20 Issue 1, p13-25, 13p

Neuromorphic Federated Learning Framework for Real-Time DDoS Attack Detection in Distributed Networks.

Authors: Al-karkh, Rawaa Amer Mansoor¹, rawaaalkarkhi86@gmail.com

Source: Journal of Qadisiyah Computer Science & Mathematics; 2026, Vol. 18 Issue 1, p1-18, 18p

Design and Performance Analysis of Power-Efficient Multipliers for Image Sharpening.

Authors: Mendez, Tanya Badiger, Manjunatha

Source: Engineering, Technology & Applied Science Research; Dec2025, Vol. 15 Issue 6, p28460-28465, 6p

Robust and compact reversible logic gate for low-power and high-performance computing.

Authors: Rajput, Anju Kumawat, Renu Srinivasulu, Avireni et al.

Source: Scientific Reports. 12/4/2025, Vol. 15 Issue 1, p1-15. 15p.

Low-Power Design and Estimation of VLSI CMOS Architectures Using approximate Arithmetic for Digital Filter Applications.

Authors: Prasath, C. Arun Shankar, C. Gowri

Source: Circuits, Systems & Signal Processing. Jul2026, Vol. 45 Issue 7, p5483-5505. 23p.

Subjects: CMOS integrated circuits, Power aware computing, Digital electric filters, Power measurement (Electricity), Digital filters (Mathematics), Arithmetic, Signal processing

Design of a Power-Aware Reconfigurable and Parameterizable Pseudorandom Pattern Generator for BIST-Based Applications.

Authors: Somanathan, Geethu Remadevi Reddy, Ujarla Harshavardhan Bhakthavatchalu, Ramesh

Source: Journal of Low Power Electronics & Applications; Sep2025, Vol. 15 Issue 3, p47, 18p

Energy-efficient task management in Apache Spark through data segregation and time-aware scheduling.

Authors: Basani, Maria Anurag Reddy Kaushal, Rajesh Kumar

Source: AIP Conference Proceedings. 2026, Vol. 3410 Issue 1, p1-12. 12p.

Low-Power Ternary ALU with Reversible Gates and Gate Diffusion Multiplexers in the Carbon Nanotube Technology.

Authors: Murali Krishna, P. Vishnu Vardhan, D.

Source: IETE Journal of Research. Feb/Mar2026, Vol. 72 Issue 2/3, p586-595. 10p.

Subjects: Reversible computing, Power aware computing, Computer performance, Carbon nanotubes, Speed

Feature Overlapping: Temporal Differential Decoupling for Efficient Spiking Neural Network Training.

Authors: Liu, Yuqian Wang, Yuechao Jiang, Yizhou et al.

Source: Annals of the New York Academy of Sciences. Feb2026, Vol. 1556 Issue 1, p1-13. 13p.

Subjects: Power aware computing, Sensitivity analysis, Artificial neural networks, Approximation error

POWER-AWARE DESIGN-FOR-TESTABILITY IN SEMICONDUCTOR DEVICES: A REVIEW OF ENERGY-EFFICIENT TESTING STRATEGIES.

Authors: Hussain, Abid¹

Source: International Journal of Advanced Research in Computer Science; Jul/Aug2025, Vol. 16 Issue 4, p146-153, 8p

CNTFET-based low-power approximate compressors with current-mode and pass-transistor logic for image processing.

Authors: Foroutan, Pegah Navi, Keivan

Source: Cluster Computing; 2026, Vol. 29 Issue 5, p1-33, 33p

Fully Hardware‐Implemented Neuromorphic Visual System Based on a Single‐Layer Memristive Spiking Neural Network.

Authors: Wen, Juan Zhang, Le Hua, Shuai Bin et al.

Source: Advanced Functional Materials; 6/18/2026, Vol. 36 Issue 49, p1-12, 12p

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence.

Authors: Wi, Sangwon Lee, Yunsang

Source: Advanced Science; 6/4/2026, Vol. 13 Issue 31, p1-12, 12p

Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights.

Authors: Song, Minsuk Han, Changhyeon Choi, Joonhyeok et al.

Source: Advanced Intelligent Systems (2640-4567); Jun2026, Vol. 8 Issue 6, p1-11, 11p

Dual‐Gate Ambipolar MoTe2 Transistor Enabled Reconfigurable Logic and Memory for Next‐Generation Computing.

Authors: Lu, Haoyue Wang, Yan Sun, Hao et al.

Source: Advanced Functional Materials; 5/18/2026, Vol. 36 Issue 40, p1-10, 10p