Results 61 to 70 of about 36,372,437 (161)
Graph Theory Approach to Transportation Systems Design and Optimization [PDF]
The main aim of the paper is to present graph theory parameters and algorithms as tool to analyze and to optimise transportation systems. To realize these goals the 0-1 knapsack problem solution by SPEA algorithm, methods and procedures for finding the ...
Sambor Guze
doaj +1 more source
Algorithmic Monoculture and Its Critics
ABSTRACT Algorithmic decision‐making is replacing idiosyncratic human judgment in domains such as hiring, lending, and criminal justice. This shift promises increased consistency, but many scholars worry that it can go too far. They warn of the dangers of algorithmic monoculture, in which all decisions across a domain are made using a single algorithm.
Brian Hedden, Manish Raghavan
wiley +1 more source
Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source
Philosophy of phenomic prediction and its incompatibility with causal inference
Abstract Breeding programs need to make decisions frequently to improve populations and develop varieties efficiently. These needs led to the development of genomic prediction in the early 2000s and phenomic prediction in the mid‐2010s. In practice, phenomic prediction techniques rely on the same statistical tools and computational frameworks as other ...
Mitchell J. Feldmann +2 more
wiley +1 more source
ABSTRACT There is little doubt that children's social‐emotional skills predict better educational outcomes, yet few public preschool evaluation studies have explored associations between public preschool attendance and children's social‐emotional development through elementary school.
Deborah A. Phillips +5 more
wiley +1 more source
Deep Reinforcement Learning Algorithms for Heterogeneous Multiple Knapsack Problems [PDF]
By focusing on the traditional multi-Knapsack Problem (KP) in typical logistics system operations, this study abstracts a Heterogeneous Multiple Knapsack Problem (HMKP) and formulates an improved Deep Deterministic Policy Gradient (DDPG) algorithm to ...
LI Bin, GUO Yi
doaj +1 more source
Optimal Foraging Algorithm Based on Differential Evolution
The optimal foraging algorithm (OFA) was proposed by summarizing the rules of the animal foraging behavior in a group. Therefore OFA also has the defects of the swarm intelligence algorithm, such as easy to trap into local optimum and low convergence ...
Yanming Fu +3 more
doaj +1 more source
Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling
Combining BLIP‐2 image captions with CLIP vision–language embeddings gives video frames semantic meaning that pixels alone cannot convey. Processed by a multi‐scale temporal U‐Net and hierarchical shot‐aware transformer, these multimodal features achieve a state‐of‐the‐art 59.27% F1‐score on SumMe using only 28.27M parameters.
Saadman Sakib, Kaushik Deb
wiley +1 more source
ABSTRACT This research examines how AI role disclosure transparency—the consumers' subjective perception of how clearly and informatively an advertisement communicates the role that AI played in the ad creation process—influences consumer evaluation of AI‐generated ads via ad creation process credibility. A high level of perceived transparency enhances
Khanh Bao Quang Le +3 more
wiley +1 more source
A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem
The harmony search (HS) algorithm is a novel metaheuristic which has been widely used to solve both continuous and discrete optimization problems. In order to improve the performance and simplify the implementation of the HS algorithm for solving the 0-1
Fuyuan Zheng +5 more
doaj +1 more source

