Results 101 to 110 of about 12,040,686 (279)

Fashion recommendation system using Fuzzy Analytic Hierarchy Process (FAHP) / Muhammad Hakim Husin [PDF]

open access: yes
The project aims to address the challenge of enhancing the personalization of fashion recommendations, a task that is becoming increasingly complex due to the vast array of fashion options available online.
Husin, Muhammad Hakim
core  

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

open access: yesAdvanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang   +7 more
wiley   +1 more source

Evaluation of traffic congestion degree: An integrated approach

open access: yesInternational Journal of Distributed Sensor Networks, 2017
Intersection traffic congestion evaluation is essential for effective intelligent transportation system planning, and an objective and precise assessment of traffic congestion is vital to ensure the smooth circulation of traffic.
Nannan Hao   +5 more
doaj   +1 more source

MARGINAL MATERIAL EVALUATION AND SELECTION USING ANALYTIC HIERARCHY PROCESS MODEL

open access: yes, 2017
Marginal materials, also called sub-standard materials, have the potential to replace premium materials in local roads. However, the current definition of marginal materials suffers from the limitation of focusing on whether or not each single property ...
Li, Wentao   +5 more
core   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

The Use of the AHP in Civil Engineering Projects [PDF]

open access: yes
Most engineering, economic, social and institutional decisions are made with explicit notions of optimal behavior and implicit human motivations. In such a process, manipulation of both tangible and intangible data and satisfaction of multiple criteria ...
György Kadocsa, András Farkas
core  

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

open access: yesAgribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa   +1 more
wiley   +1 more source

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