Results 111 to 120 of about 1,079,877 (335)
A Hybrid Method for the Modelling and Optimisation of Constrained Search Problems
The paper presents a concept and the outline of the implementation of a hybrid approach to modelling and solving constrained problems. Two environments of mathematical programming (in particular, integer programming) and declarative programming (in ...
Sitek Pawel, Wikarek Jaroslaw
doaj +1 more source
Personalized Medication for Chronic Diseases Using Multimodal Data‐Driven Chain‐of‐Decisions
A MDD‐CoD is proposed for personalized chronic disease medication. The framework simulates clinical chain‐of‐decisions through three linked deep learning tasks, validated on multi‐center datasets (3 hospitals, 4 diseases), demonstrating enhanced generalization and interpretability in cross‐disease applications.
Xiaoli Chu +10 more
wiley +1 more source
One's own soundtrack: Affective music synthesis [PDF]
Computer music usually sounds mechanical; hence, if musicality and music expression of virtual actors could be enhanced according to the user's mood, the quality of experience would be amplified. We present a solution that is based on improvisation using
Fuschi, D, Khan, A
core
This study pioneers a rational nanozyme design strategy guided by electron transfer mechanisms while advancing biosensing paradigms through interpretable machine learning‐enhanced signal intelligence. By transforming biosensors from passive transducers to active diagnostic systems, this work establishes a versatile framework for addressing global ...
Yuechun Li +9 more
wiley +1 more source
Synthesizing Nyaya rhetoric and Sphota linguistic approaches: A comprehensive exploration of an Indian communication framework [PDF]
This paper proposes an integrated Nyaya–Sphota model that fuses analytic inference with holistic meaning. Nyaya contributes a four-stage test of valid knowledge, while Bhartrhari’s Sphota theory explains how meaning flashes as an indivisible whole ...
Uma Shankar Pandey
doaj +1 more source
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He +6 more
wiley +1 more source
Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples
Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data.
Anantharam Pramod +10 more
core +1 more source
An analysis of literature trends and a historical overview of organic and inorganic piezoelectric materials, focusing on their structural diversity, functional mechanisms, and inherent characteristics. It then explores cutting‐edge developments in material synthesis, fabrication processes, and performance optimization, highlighting their applicability ...
Bangul Khan +7 more
wiley +1 more source
This study presents a flexible mechanical response device (FMRD) with optical logic properties, developed via synergistic crystallization engineering of ester‐based polymers and perovskite. Ion‐dipole interactions and crystallized space confinement tune perovskite crystal dimensions, enhancing exciton transfer and emission.
Zhen‐Li Yan +13 more
wiley +1 more source
On the Possibility of a General Purge of Self-Reference
My aim in this paper is to gather some evident in favor of the view that a general purge of self-reference is possible. I do this by considering a modal-epistemic version of the Liar Paradox introduced by Roy Cook.
Lucas Rosenblatt
doaj +1 more source

