Results 111 to 120 of about 268 (169)

A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent. [PDF]

Sci Rep
Al Nuaim A, Qayyum J.
europepmc   +1 more source

Unleashing the value of a “scientific approach” to entrepreneurship: Building an empirical research agenda

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary In this manuscript, we argue that the Entrepreneurs‐as‐Scientists (E‐a‐S) research program requires a fundamental shift from predominantly conceptual development toward an empirical agenda to achieve its normative goal: developing a scalable algorithm that improves entrepreneurial learning and value creation.
Arnaldo Camuffo, Alfonso Gambardella, Thomaz Teodorovicz   +2 more
wiley   +1 more source

Optimal dimensioning of grid-connected PV/wind hybrid renewable energy systems with battery and supercapacitor storage a statistical validation of meta-heuristic algorithm performance. [PDF]

Sci Rep
Samy MM, Güven AF.
europepmc   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Quantum game strategy solution for R&D cartel: Reorganizing government R&D investment strategy in Korea. [PDF]

PLoS One
Won D, Lim J, Lee B.
europepmc   +1 more source

How data velocity changes decisions: The role of information access speed

Strategic Management Journal, EarlyView.
Abstract Research Summary Recent technological advancements have enabled more data‐driven decision‐making across firms. While prior literature highlights the value of using more data, there is less insight on the impact of information speed, particularly how quickly decision‐makers can access it.
Miguel Espinosa, Hyunjin Kim, Sergio Prada   +2 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Applications of Entropy in Data Analysis and Machine Learning: A Review. [PDF]

Entropy (Basel)
Sepúlveda-Fontaine SA, Amigó JM.
europepmc   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Promoting the modal shift of freight from road to rail in China: An evolutionary game and simulation study. [PDF]

PLoS One
Liu S, Jia G.
europepmc   +1 more source