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

Performance Analysis of Different CNTFET Based Full Adder Cells at Nano Scale Regime for Energy Efficient Computing Systems.

Authors: REDDY, DEGA SRINIVASULU PAMULETI, CHALLA DAS, SARI MOHAN et al.

Source: Journal of Active & Passive Electronic Devices; 2026, Vol. 20 Issue 3, p255-265, 11p

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

Design and Evaluation of Energy‐Efficient Whisper Dot‐Product Kernel Offloading on a CGLA Architecture.

Authors: Ando, Takuto Eto, Yu Takeuchi, Ayumu et al.

Source: Concurrency & Computation: Practice & Experience; Jul2026, Vol. 38 Issue 13, p1-15, 15p

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