Results 101 to 110 of about 712,487 (278)

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Multiple Description Wavelet Coding of Layered Video Using Optimal Redundancy Allocation

EURASIP Journal on Advances in Signal Processing, 2006
We present a wavelet-based framework for the encoding of video in multiple descriptions. Using the proposed methodology, the generation of multiple descriptions is performed so that drift is eliminated at the decoder regardless of the number of received
Zachariadis Konstantinos E, Kanlis Angelos, Strintzis Michael G, Boulgouris Nikolaos V   +3 more
doaj   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

Advanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo, Seigo Watanabe, Hana Matsunaga, Kenichi Oyaizu   +3 more
wiley   +1 more source

Reconfigurable Design and Optimization‐Based Control of an Integrated Leg‐Arm Robot for Space Applications With an Underactuated Body

Advanced Intelligent Systems, EarlyView.
A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang, Kun Xu, Shutao Wu, Haoyuan Liu, Bochao Song, Jiawei Chen, Peijin Zi, Tao Zhang, Xilun Ding   +8 more
wiley   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

A Data-Driven Defect Diagnosis and Failure Analysis Method for Mass-Production SRAM Redundancy Optimization

Applied Sciences
As the area occupied by static random access memory (SRAM) continues to increase in advanced integrated circuits, SRAM yield has become a critical factor that directly constrains chip cost and manufacturing efficiency.
Hailong Li, Yun Wang, Jian Liu, Haiyang Liu   +3 more
doaj   +1 more source

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

Advanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source

Optimal Redundancy Allocation in Multi-Indenture Systems Considering Human Error-Induced Common Cause Failures

Machines
This paper deals with a redundancy allocation optimization problem (RAOP) for multi-indenture systems under common cause failures (CCF). A beta-factor model for CCF is applied to predict the system reliability in multi-indenture systems. Human errors are
Qian Qian Zhao, Jong Woon Kim, Il Han Chung, Won Young Yun   +3 more
doaj   +1 more source

Reliability optimization of a series-parallel k-out-of-n system with failure ratedepends on working system components [PDF]

Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2015
This paper presents a mathematical model for a redundancy allocation problem (RAP) for the series-parallel system with k-out-of-n subsystems and failure rate depends on working components of system. It means that failure rate of components increases when
Mani sharifi, Ghasem cheragh
doaj