Results 81 to 90 of about 3,621,093 (292)

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

Identification of health-related needs: The needs examination, evaluation and dissemination (NEED) assessment framework

Health Policy
Innovation in healthcare is highly supply-driven, leading to underinvestment in less profitable health areas, unmet needs and inefficient use of public resources. This study proposes a framework to structure the identification of health-related patient and societal needs across different health conditions, supporting the evolution towards needs-driven ...
Charline Maertens de Noordhout, Muriel Levy, Rani Claerman, Mats de Jaeger, Robby De Pauw, Laurence Kohn, Claudia Schönborn, Irina Cleemput   +7 more
openaire   +3 more sources

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Complex relational needs impede progress in NHS Talking Therapies (IAPT): implications for public mental health. [PDF]

Front Public Health, 2023
Zavlis O.
europepmc   +1 more source

Representing fuzzy decision tables in a fuzzy relational database environment. [PDF]

In this paper the representation of decision tables in a relational database environment is discussed. First, crisp decision tables are defined. Afterwards a technique to represent decision tables in a relational system is presented.
Vanthienen, Jan, Wets, G, Chen, G
core  

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

AI‐Based Immortality: The Ethical Advantage of the Aretai Approach

AI &Innovation, EarlyView.
ABSTRACT The convergence of artificial intelligence, digital identity technologies, and biogerontological ambitions has produced a novel set of philosophical problems that have not yet been adequately addressed within mainstream bioethical discourse. Digital life extension—encompassing AI‐generated avatars, neural data preservation, mind uploading, and
Mirko Daniel Garasic
wiley   +1 more source

VictorWinberg/graph-relational-benchmark: Version v1.0.0

, 2019
Release v1.0.0 graph-relational-benchmark This project enables you to benchmark graph and relational databases to compare their ...
Victor Winberg (7121042), Victor Winberg, Jan Zubac, Jan Zubac (7121045)   +3 more
core   +1 more source

Using the online cross-entropy method to learn relational policies for playing different games [PDF]

, 2011
By defining a video-game environment as a collection of objects, relations, actions and rewards, the relational reinforcement learning algorithm presented in this paper generates and optimises a set of concise, human-readable relational rules for ...
Kurt Driessens, Pfahringer, Bernhard, Driessens, Kurt, Pfahringer, B., Sarjant, Samuel, Samuel Sarjant, Smith, Tony C., Sarjant, S., Driessens, K.; id_orcid, Smith, T., Tony Smith, Bernhard Pfahringer, Driessens, K.   +12 more
core   +2 more sources

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source