Results 91 to 100 of about 12,101 (223)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

An action research approach to develop a framework for the development of dot-com ventures for SMEs

, 2012
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityInternet adoption and e-business has been of particular interest amongst researchers and practitioners, however, most of the studies focus on large ...
Serrano Rico, Azael Erly
core  

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

Advanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka, Kei Okada, Masayuki Inaba   +2 more
wiley   +1 more source

Programmable Solid‐Electrolyte Interfaces for Efficient and Selective Electrochemical Hydrogenations

Angewandte Chemie, EarlyView.
Poly(ionic liquid) binders are shown to actively control the electrode microenvironment, strongly enhancing electrochemical hydrogenation compared to traditional binders. The work redefines the binder as an active component of catalytic electrode design, reshaping local potential gradients and interfacial ion distribution to modulate adsorbed H ...
Anastasios Orestis Grammenos, Jessica Brandt, Yu Zhang, Zeen Wu, Mateusz M. Marzec, Sotirios Sotiropoulos, Piotr Jeleń, Jiayin Yuan, Markus Antonietti, Mateusz Odziomek   +9 more
wiley   +2 more sources

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Rediscovering Sodium Ionophores as Selective Agents for Lithium Recognition and Extraction

Angewandte Chemie, EarlyView.
Long‐classified sodium ionophores unexpectedly prefer lithium and act as efficient extractants in solid–liquid extraction (SLE). Readily prepared from catechol and haloacetamides, these hosts recover hydrated LiCl from multicomponent salt mixtures via a hydration‐assisted O···Li+ binding mode, enabling scalable lithium separation with Li/Na, Li/K, and ...
Jakub Narodowiec, Aleksandra Kazimierczak, Małgorzata Grela, Magdalena Ceborska, Magdalena Matczuk, Maja Morawiak, Kajetan Dąbrowa   +6 more
wiley   +2 more sources

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source