Results 171 to 180 of about 353,149 (264)

The design of an overhead connection between the Halls of Engineering and Physics at the State University of Iowa

, 1912
Nathan Wohlfeld
openalex   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

ChebIoD: a Chebyshev polynomial-based lightweight authentication scheme for internet of drones environments. [PDF]

Sci Rep
Al-Mekhlafi ZG, Altmemi JMH, Al-Shareeda MA, Al-Hchaimi AAJ, Homod RZ, Mohammed BA, Alshammari G, Al-Dhlan KA, Alrashdi R, Alkhabra YA.   +9 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Low power and high-speed quadrate node upset tolerant latch design using CNTFET. [PDF]

Sci Rep
Asiya S, S SK.
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Optimizing internet of things security through blockchain enabled software defined networking. [PDF]

Sci Rep
Tumula S, Ramadevi Y, Rudra Kumar M, Chithaluru P, Palamakula RB, Goli S, Narsimhulu P, Jamjoom M, Abd Elminaam DS.   +8 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Adaptive Localization-Free Secure Routing Protocol for Underwater Sensor Networks. [PDF]

Sensors (Basel)
Alharbi A, Ibrahim S.
europepmc   +1 more source

An economic and engineering comparison of replacing overhead with trickle irrigation in red raspberries

, 1987
Richard W. Carkner, Thomas Ley
openalex   +1 more source