Results 161 to 170 of about 28,089,471 (303)
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Eliza Russell (Swinburne Story)
The 'Swinburne Story' series will take an inside view into the journey of inspirational members of the Swinburne community who share their career story and personal trajectories.
Eliza Russell
core +1 more source
The 'Swinburne Story' series will take an inside view into the journey of inspirational members of the Swinburne community who share their career story and personal trajectories.
Bwe Thay
core
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
Waiting to be seen: Understanding the experience of waiting in hospital settings through a patient-created digital story. [PDF]
Lang M, Piller D, Roach C.
europepmc +1 more source
International Society for Technology in Education ...
openaire +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Andrew Peters (Swinburne Story)
The 'Swinburne Story' series will take an inside view into the journey of inspirational members of the Swinburne community who share their career story and personal trajectories.
Andrew Peters
core
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
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

