Results 131 to 140 of about 9,789 (258)

A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification. [PDF]

Diagnostics (Basel)
Kadhim YA, Guzel MS, Mishra A.
europepmc   +1 more source

An effective and efficient matheuristic for the electric vehicle routing problem with capacitated recharging stations

International Transactions in Operational Research, EarlyView.
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri, Daniele Ferone, Paola Festa, Ornella Pisacane   +3 more
wiley   +1 more source

Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study. [PDF]

Sci Rep
Aslam MN, Aslam MW, Arshad MS, Afzal Z, Hassani MK, Zidan AM, Akgül A.   +6 more
europepmc   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, EarlyView.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Entrepreneurial Market Leadership Claims, Cultural Resonance, and Investor Evaluations in Nascent Markets: The Goldilocks Effect

Journal of Management Studies, EarlyView.
Abstract Cultural entrepreneurship research emphasizes entrepreneurs’ use of cultural resources to influence audience evaluations through resonance. However, the process by which such cultural resonance is achieved remains underexplored, particularly as an intermediary outcome.
Xiumei Li, Jade Y. Lo, Derek Harmon, V. K. Narayanan   +3 more
wiley   +1 more source

Adaptability in Innovation Management: A Meta‐Analysis

Journal of Product Innovation Management, EarlyView.
ABSTRACT Academic Summary As firms navigate dynamic technological, market, and institutional environments, adaptability—and related notions such as flexibility and agility—have become central to innovation management. Yet, the literature is conceptually fragmented: multiple labels are applied with overlapping but inconsistent content, and few studies ...
Felix Hoch, Tobias Röth, Alexander Kock, Julia Backmann, Alex Newman   +4 more
wiley   +1 more source

The Impact of TikTok on Elections: (Mis)information and Regulatory Challenges

Kyklos, EarlyView.
ABSTRACT TikTok's algorithm‐driven feed is reshaping electoral communication, yet a clear understanding of its effects is lacking. This study synthesizes and appraises evidence on how the platform's design and governance shape political (dis)information and may affect electoral dynamics.
Michele Giuseppe Giuranno, Mauro Sebastian Manni   +1 more
wiley   +1 more source

Effective faking of verbal deception detection with target‐aligned adversarial attacks

Legal and Criminological Psychology, EarlyView.
Abstract Background Deception detection through analysing language is a promising avenue using both human judgements and automated machine learning judgements. For both forms of credibility assessment, automated adversarial attacks that rewrite deceptive statements to appear truthful pose a serious threat.
Bennett Kleinberg, Riccardo Loconte, Bruno Verschuere   +2 more
wiley   +1 more source

Predicting suggestive questioning from cognitions and emotions about child sexual abuse across three study paradigms

Legal and Criminological Psychology, EarlyView.
Abstract Purpose Although interviews are individual in nature, and suggestiveness is a major pitfall when questioning children, individual differences in interviewer bias and suggestiveness remain understudied. We assessed relationships between Cognitions and Emotions about Child Sexual Abuse (CECSA) with suggestive questioning and bias across three ...
Elsa Gewehr, Marie Merschhemke, Simone Pülschen, Dietrich Pülschen, Renate Volbert   +4 more
wiley   +1 more source