Results 221 to 230 of about 1,065,541 (300)

What can we Learn from Quantum Convolutional Neural Networks?

Advanced Quantum Technologies, EarlyView.
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko   +3 more
wiley   +1 more source

An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior. [PDF]

PLoS One
Zeng F, Wang J, Zeng C.
europepmc   +1 more source

Semantic change and chaos theory [PDF]

, 2005
Grygiel, Marcin, Kleparski, Grzegorz A.
core  

An intelligent algorithm to fast and accurately detect chaotic correlation dimension

River, EarlyView.
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang   +3 more
wiley   +1 more source

Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model. [PDF]

Sci Rep
Andabili MN, Nazari S, Moosazadeh T.
europepmc   +1 more source

How Uncertain is the Emergence of Knowledge Related to the United Nations Sustainable Development Goals? An Analysis of Scientific Knowledge Diversification at Utrecht University

Sustainable Development, EarlyView.
ABSTRACT The study of synergies and trade‐offs among the Sustainable Development Goals (SDGs) has captured growing scientific interest. However, how scientific knowledge addressing multiple SDGs emerges and contributes to improving synergies and addressing trade‐offs remains unclear.
Oscar Yandy Romero‐Goyeneche, Gaston Heimeriks, Felber Arroyave   +2 more
wiley   +1 more source

FPGA based implementation of a perturbed Chen oscillator for secure embedded cryptosystems. [PDF]

Sci Rep
Nguemo Kemdoum F, Mboupda Pone JR, Bajaj M, Dzonde Naoussi SR, Ayemtsa Kuete GP, Louzazni M, Berhanu Tuka M, Kamel S.   +7 more
europepmc   +1 more source

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

Improved Manta Ray Foraging Optimization for PID Control Parameter Tuning in Artillery Stabilization Systems. [PDF]

Biomimetics (Basel)
Wang X, Li X, Sun Q, Xia C, Chen YH.
europepmc   +1 more source

Biomimetic Robotics and Intelligence: A Survey

SmartBot, EarlyView.
Biomimetic robotics and intelligence, inspired by biological systems, integrate biology, engineering, and AI, develops robots capable of adapting to complex environments. By mimicking natural structures and cognitive processes, and employing algorithms like neural networks and genetic algorithms, these systems enhance autonomy and problem‐solving. This
Yixuan Sheng, Wei Nie, Zhao Liu, Hanlin Zhang, Hao Zhou, Ziyong Liu, Honghai Liu   +6 more
wiley   +1 more source