Results 91 to 100 of about 1,226,644 (182)
Automated Course Timetabling Optimization Using Tabu-Simulated Annealing Hyper-Heuristics Algorithm
Khazanah InformatikaThe topic of solving Timetabling Problems is an interesting area of study. These problems are commonly encountered in many institutions, particularly in the educational sector, including universities.
Ahmad Muklason +2 more
doaj +1 more source
Circularity and Resilience in Entrepreneurial Ecosystems in Times of Crisis
Journal of Product Innovation Management, EarlyView.ABSTRACT Despite recent efforts to bridge the circular economy and entrepreneurship, and to explore resilience in entrepreneurial ecosystems, the ways in which startups' circularity orientations influence how they build resilience in times of crisis remain unclear.
Ingvild Reine Assmann +4 more
wiley +1 more source
EntropyArtificial intelligence plays an indispensable role in improving productivity and promoting social development, and causal discovery is one of the extremely important research directions in this field. Acyclic directed graphs (DAGs) are the most commonly
Yinglong Dang +2 more
doaj +1 more source
Gendered Harmony and Unsung Collections: Two Debussy Rabbit Holes
Music Analysis, EarlyView.ABSTRACT This review article on Mark McFarland's The Musical Relationship between Claude Debussy and Igor Stravinsky (2024) offers a critical reading of this recent text and treats its content as a springboard for the exploration of two issues untapped in existing musicological discourse.
Rajan Lal
wiley +1 more source
Frontiers in BlockchainThe static and hard-coded logic of smart contracts in Decentralized Finance (DeFi) platforms significantly limits their adaptability in dynamic and volatile market environments.
Kassem Danach +4 more
doaj +1 more source
Reinforcement learning hyper-heuristics for optimisation [PDF]
, 2017 Hyper-heuristics are search algorithms which operate on a set of heuristics with the goal of solving a wide range of optimisation problems. It has been observed that different heuristics perform differently between different optimisation problems.
Alanazi, Fawaz
core
Personnel Psychology, EarlyView.ABSTRACT Artificial intelligence (AI), such as large language models (LLMs), is increasingly being used to score psychological and organizational constructs from text. However, the reliability and validity of these scores remains vital. Frequently, AI scores are treated as replicants of human ratings and inter‐rater reliability (IRR) is established by ...
Andrew B. Speer
wiley +1 more source
Scandinavian Journal of Psychology, EarlyView.ABSTRACT Specific relational risk conditions may increase vulnerability to dysfunctional, coercive, or unsafe intimate relationships in adulthood. Pathological Affective Dependence (PAD) and Fear of Intimacy (FoI) represent two clinically relevant relational conditions associated with difficulties in adult intimacy.
Carolina Papa +4 more
wiley +1 more source
Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2489-2504, November 2026.ABSTRACT Purpose To improve the accuracy of diffusion‐weighted powder average signals for diffusion encoding with arbitrary b‐tensors. Methods We identify an intrinsic dihedral (D2) symmetry of diffusion signals for arbitrary diffusion encoding, which defines their natural signal space (a quotient of 3D rotations). Based on this, we propose a method to
Sune Nørhøj Jespersen +1 more
wiley +1 more source
Reinforcement learning hyper-heuristics for optimisation [PDF]
Hyper-heuristics are search algorithms which operate on a set of heuristics with the goal of solving a wide range of optimisation problems. It has been observed that different heuristics perform differently between different optimisation problems.
Alanazi, Fawaz
core +3 more sources