Results 81 to 90 of about 674,252 (208)
What can we Learn from Quantum Convolutional Neural Networks?
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+3 more
wiley +1 more source
An intelligent algorithm to fast and accurately detect chaotic correlation dimension
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+3 more
wiley +1 more source
Roles of band gap and Kane electronic dispersion in the THz-frequency nonlinear optical response in HgCdTe [PDF]
Materials with linear electronic dispersion often feature high carrier mobilities and unusually strong nonlinear optical interactions. In this work, we investigate the THz nonlinear dynamics of one such material, HgCdTe, with an electronic band dispersion heavily dependent on both temperature and stoichiometry.
arxiv +1 more source
Biomimetic Robotics and Intelligence: A Survey
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+6 more
wiley +1 more source
Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food
This review discusses recent advancements in nanoparticle‐based nanosensors for multiplex detection of food contaminants, focusing on toxins and pathogens. It highlights the design principles, sensitivity, and selectivity of these sensors, offering insights into their practical applications for food safety monitoring and inspiring future innovations ...
Yang Zhang+10 more
wiley +1 more source
Abstract Policy design has two analytical domains, policy design‐as‐formulation and policy design‐as‐content. The latter study policies as codified and constructed output of the formulation process, which is an activity directed to the process. The analytical concept ‘structural logic’ emerged as an internal property of policy text and has been ...
Guswin de Wee+2 more
wiley +1 more source
Epistemological Implications of a System—Theoretical Understanding for Sustainability Models
ABSTRACT In the sense of the Sustainable Development Goals (SDGs), global efforts to create a sustainable society will not be sufficiently successful under the current geopolitical and socio‐economic trends. For this reason, recent sustainability research has increasingly focused on systemic coherence, the subject of cognition, and psychological and ...
Stefan Stumm
wiley +1 more source
ABSTRACT Australia is a maritime nation, relying on access to its surrounding oceans for its economy and security. The Royal Australian Navy conducts undersea surveillance to monitor this vital maritime environment and gain insight into activities beneath the ocean's surface.
Timothy J. Milledge+2 more
wiley +1 more source
ABSTRACT Spasmodic dysphonia is a laryngeal dystonia that can present as adductor, abductor, or mixed types, with or without tremor. The etiology is not understood fully. Comprehensive evaluation is required to establish the diagnosis. Treatments include voice therapy, medications, botulinum toxin injection, laryngeal surgery, deep brain stimulation ...
Aaron J. Jaworek, Robert T. Sataloff
wiley +1 more source
Bat algorithm based on kinetic adaptation and elite communication for engineering problems
Abstract The Bat algorithm, a metaheuristic optimization technique inspired by the foraging behaviour of bats, has been employed to tackle optimization problems. Known for its ease of implementation, parameter tunability, and strong global search capabilities, this algorithm finds application across diverse optimization problem domains. However, in the
Chong Yuan+6 more
wiley +1 more source