Results 31 to 40 of about 634,036 (142)
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
K J Wilson +3 more
core +3 more sources
What happens when stories refuse coherence? This article examines ambiguous loss among mothers of combat soldiers, focusing on how prolonged waiting and uncertainty infiltrate everyday life, eroding sensemaking. Drawing on ethnographic interviews, it explores how mothers experience the contraction of time and space—manifested in suspended routines ...
Shirly Bar‐Lev +2 more
wiley +1 more source
Active sonar tracking of multiple underwater targets is frequently challenged by intense reverberation, which leads to sonar returns that are both non-stationary and non-Gaussian.
Kaiqiang Yang, Xianghao Hou, Yixin Yang
doaj +1 more source
Statistical Denoising of Transient Rendering
Abstract Transient rendering simulates light in motion, measuring the time of flight from the light source to the camera. However, the stochastic nature of Monte Carlo is aggravated in transient rendering, since samples are now spread along the temporal domain.
Oscar Pueyo‐Ciutad +2 more
wiley +1 more source
Recursive Markov Decision Processes and Recursive Stochastic Games [PDF]
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), and study the decidability and complexity of algorithms for their analysis and verification.
Mihalis Yannakakis +3 more
core +1 more source
High-dimensional datasets are commonly encountered in real-world machine learning applications and often degrade classification performance due to redundant and irrelevant features.
Akhmad Dahlan +4 more
doaj +1 more source
Survey on Compositional 3D Indoor Scene Generation
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
An Improved Recursive and Non-recursive Comb Filter for DSP Applications [PDF]
The recursive and non-recursive comb filters are commonly used as decimators for the sigma delta modulators. This paper presents the analysis and design of low power and high speed comb filters.
Teymourzadeh, Rozita, Othman, Masuri
core +3 more sources

