Results 261 to 270 of about 376,317 (337)

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks. [PDF]

Front Neurosci
Li J, Xu M, Dong H, Lan B, Liu Y, Chen H, Zhuang Y, Xie Y, Chen L.   +8 more
europepmc   +1 more source

Adaptive multi-bit quantization for hashing

, 2014
Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan   +3 more
openalex   +2 more sources

Towards Artificial Intelligence Hardware With 3D Integrated Ferroelectric Transistors

Small, EarlyView.
Modern AI workloads demand hardware that mitigates the data‐movement bottleneck of von Neumann architectures. Here, we demonstrate a 4‐tier monolithic 3D (M3D) platform vertically integrating IGZO access transistors with Hf₀.5Zr₀.5O2 ferroelectric FETs.
Hyunho Seok, Geonwook Kim, Sihoon Son, Hyunbin Choi, Taesung Kim   +4 more
wiley   +1 more source

An approach to the QHE in 3D electron systems. [PDF]

Sci Rep
Hidalgo MA.
europepmc   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

Intelligent identification of rice leaf diseases via improved faster-RCNN with multi-feature scale fusion. [PDF]

PLoS One
Shi X, Zhang W, Song F, Zhao C.
europepmc   +1 more source

A Comparative Study of Directed Energy Deposition‐Arc and Casting: Enhancing Mechanical and Thermal Properties of Hot‐Work Tool Steels

steel research international, EarlyView.
The study investigates the influence of DED‐Arc/M versus casting on the microstructure and material properties of X40CrMoV5‐1 (AISI H13) hot‐work tool steel. DED‐Arc/M yields finer microstructures, superior mechanical strength, and ductility, but slightly reduced thermal conductivity.
Ulf Ziesing, Aaron Berger, Hendric Schaefer, Sebastian Weber, Jonathan Lentz   +4 more
wiley   +1 more source

<i>n</i>-Mode Quantized Anharmonic Vibronic Hamiltonians for Matrix Product State Dynamics. [PDF]

J Chem Theory Comput
Barandun V, Glaser N, Reiher M.
europepmc   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source