Results 111 to 120 of about 3,066 (281)

Micro‐transitions and work identity: The case of academic entrepreneurs

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary This paper examines how academic entrepreneurs—scientists who found research‐based startups while remaining in academia—construct and sustain their professional identities amid frequent transitions between academic and entrepreneurial roles.
Marouane Bousfiha, Henrik Berglund
wiley   +1 more source

A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks [PDF]

, 2019
peer ...
OTTERSTEN, Björn, Mehrizi, S., MEHRIZI RAHMAT ABADI, Sajad, Tsakmalis, Anestis, Symeon Chatzinotas, Ottersten, Björn,, CHATZINOTAS, Symeon, Tsakmalis, A., Sajad Mehrizi, Bjorn Ottersten, Chatzinotas, S., Anestis Tsakmalis   +11 more
core   +1 more source

Improving String Matching through Enhanced Hashing

Software: Practice and Experience, EarlyView.
ABSTRACT Background Hashing offers opportunities to tune string matching algorithms while enabling efficient data retrieval and pattern detection. Many of the best algorithms apply hashing. Objective We try to develop faster online algorithms for exact string matching.
Francesco Pio Marino, Jorma Tarhio
wiley   +1 more source

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks. [PDF]

Sensors (Basel), 2023
Choi Y, Lim Y.
europepmc   +1 more source

Content Popularity Estimation in Edge-Caching Networks from Bayesian Inference Perspective [PDF]

, 2019
peer ...
OTTERSTEN, Björn, Mehrizi, S., MEHRIZI RAHMAT ABADI, Sajad, Tsakmalis, Anestis, Symeon Chatzinotas, Ottersten, Björn,, CHATZINOTAS, Symeon, Tsakmalis, A., Sajad Mehrizi, Bjorn Ottersten, Chatzinotas, S., Anestis Tsakmalis   +11 more
core   +1 more source

Recursive Grid Indexing for Fast Non‐Uniform Quantization Without Binary Search

Software: Practice and Experience, EarlyView.
ABSTRACT Purpose To present Recursive Grid Indexing (RGI), a practical software technique for accelerating non‐uniform quantization and predecessor queries without relying on binary search at any stage. Design/Methodology/Approach RGI replaces conventional logarithmic binary search with a recursive, low‐branching grid structure. The method constructs a
Oswaldo Cadenas
wiley   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, EarlyView.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source

Optimizing proactive content caching with mobility aware deep reinforcement & asynchronous federate learning in VEC

ICT Express
Edge caching in the Internet of Vehicles (IoV) can reduce backhaul strain and content access delay. However, due to the constant changes in vehicle requests, offloading applications to edge servers is crucial for efficiently anticipating and caching ...
Afsana Kabir Sinthia, Nosin Ibna Mahbub, Eui-Nam Huh   +2 more
doaj   +1 more source