Results 101 to 110 of about 22,800 (222)

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks

IEEE Access, 2019
Binarization can greatly compress and accelerate deep convolutional neural networks (CNNs) for real-time industrial applications. However, existing binarized CNNs (BCNNs) rely on scaling factor (SF) and batch normalization (BatchNorm) that still involve ...
Lijun Wu, Peiqing Jiang, Zhicong Chen, Xu Lin, Yunfeng Lai, Peijie Lin, Shuying Cheng   +6 more
doaj   +1 more source

Probabilistic Lesion Mapping to Optimize Thalamotomy Targets for Focal Hand Dystonia

Annals of Neurology, EarlyView.
Objective Focal hand dystonia (FHD) severely impairs task‐specific motor control, yet the optimal surgical target for stereotactic intervention remains uncertain. This study aimed to identify the precise thalamic lesion site associated with symptomatic improvement and to clarify its network connectivity. Methods We retrospectively analyzed 164 patients
Masahiko Nishitani, Shiro Horisawa, Konstantin Butenko, Hiroki Togo, Arun Garimella, William Drew, Melissa Chua, Esraa Shaban, Takakazu Kawamata, Takaomi Taira, Andreas Horn, Michael D. Fox, Takashi Hanakawa   +12 more
wiley   +1 more source

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

Clinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso, Jacopo Junio Valerio Branca, Giulia Guarnieri, Annamaria Morelli, Alessandra Pacini, Daniele Della Posta, Domenico Ribatti, Ferdinando Paternostro   +7 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

In‐Memory Binary Vector–Matrix Multiplication Based on Complementary Resistive Switches

Advanced Intelligent Systems, 2020
This work studies a computation in‐memory concept for binary multiply‐accumulate operations based on complementary resistive switches (CRS). By exploiting the in‐memory boolean exclusive OR (XOR) operation of single CRS devices, the Hamming Distance (HD)
Tobias Ziegler, Rainer Waser, Dirk J. Wouters, Stephan Menzel   +3 more
doaj   +1 more source

Neural correlates of resilience to trauma during adolescence: A multi‐modal study

JCPP Advances, EarlyView.
Abstract Background Understanding resilience mechanisms is important for advancing early intervention strategies, yet research on the neurobiology of resilience in adolescents is limited. The present study examined the brain structural and resting‐state functional connectivity (rsFC) correlates of resilience to internalizing and externalizing symptoms ...
Lu Zhang, Vanessa L. Cropley, Divyangana Rakesh, Sarah Whittle   +3 more
wiley   +1 more source

Acceleration Approach for Neural Radiance Field in Dynamic 3D Human Reconstruction [PDF]

Jisuanji gongcheng
This study proposes a novel acceleration method for the Neural Radiance Field (NeRF) in dynamic 3D human reconstruction to address the challenges of low training efficiency and high computational complexity in volume rendering.
XIAO Yilong, DENG Yiqin, CHEN Zhigang
doaj   +1 more source

Heterogeneous Bitwidth Binarization in Convolutional Neural Networks

, 2018
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate. These networks use homogeneous binarization: all parameters in each layer or (more commonly) the whole model have the same low bitwidth (e.g., 2 bits). However, modern hardware allows efficient designs where each arithmetic instruction can have a custom ...
Fromm, Josh, Patel, Shwetak, Philipose, Matthai   +2 more
openaire   +2 more sources

Reinforcement Learning Enabled Nanophotonic Devices

Laser &Photonics Reviews, EarlyView.
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang, Junyeob Song, Minsuk Lee, Wenqi Zhu, Amit Agrawal   +4 more
wiley   +1 more source

Basal Forebrain Volume and Concurrent Hallucinations and Mild Cognitive Impairment in Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Visual hallucinations (VH) and mild cognitive impairment (MCI) often co‐occur in Parkinson's Disease (PD). Each symptom in isolation is associated with cholinergic basal forebrain (BF) atrophy. However, it is unclear whether BF integrity relates to one symptom preferentially or to their co‐occurrence, and whether this relationship ...
Sabrina M. Adamo, Vaishali Mutreja, Marta Statucka, Batu Kaya, Taylor W. Schmitz, Anthony C. Ruocco, Melanie Cohn   +6 more
wiley   +1 more source