Results 181 to 190 of about 36,322 (258)

HAPQ: A Hardware-Aware Pruning and Quantization Pipeline for Event-Based SNN Detection. [PDF]

Sensors (Basel)
Li Z, Wu J.
europepmc   +1 more source

A Preliminary Exploratory Measurement Model for Systems Thinking in Defence and Aerospace Engineering: A Bifurcated Framework Developed via Multiple Correspondence Analysis

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Modern engineering faces a ‘complexity crisis’ characterized by interlinked, multidisciplinary ‘wicked problems’, particularly within the defence and aerospace sectors. Although systems thinking is recognized as a critical competency for navigating this environment, empirical quantitative frameworks for its measurement remain limited.
Shimon Fridkin, Sigal Kordova
wiley   +1 more source

CP-LDS-MCTS: A Decision-Making Method for Unsignalized Intersections Based on Low-Discrepancy Sampling and Safety Pruning. [PDF]

Sensors (Basel)
Sun N, Yu J, Gao Y, Xiao G.
europepmc   +1 more source

Balancing Accuracy and Cost: Trade‐Offs in Large Language Model Quantization for the Systems Engineering Domain

Systems Engineering, EarlyView.
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell, Raymond Madachy, Ryan Longshore   +2 more
wiley   +1 more source

Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]

PLoS One
Guo J, Liu R, Xing J.
europepmc   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

Systems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell, Ryan Longshore, Raymond Madachy, Ashlyn Hanrahan   +3 more
wiley   +1 more source

Divergent Mechanisms of Antidepressant Efficacy: A Unified Computational Comparison of Synaptogenesis, Stabilization, and Tonic Inhibition in a Model of Depression. [PDF]

Cureus
Cheung N.
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Maize Detection and Row Extraction Using Maize-YOLO and IPM-Clustering Method for Autonomous Agricultural Navigation. [PDF]

Sensors (Basel)
Sun T, Qu J, Cai C, Jin Y, Zhang S, Le F, Xue X, Cui L.   +7 more
europepmc   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source