Results 31 to 40 of about 1,097 (224)

Overcoming Interfacial Hurdles in Solid‐State Aluminum Batteries for Safe and Energy‐Dense Storage

Advanced Science, EarlyView.
Solid‐state aluminum batteries (SSABs) promise high energy density and intrinsic safety but face severe solid–solid interfacial challenges. This review reveals the three core hurdles—anode passivation, cathode contact loss, and electrolyte grain boundary resistance and discusses strategies including artificial interphases, alloying, and composite ...
Yunlei Wang, Xiaogang Zhang, Mingguang Wang, Yifan Wu, Shitao Dou, Taibin Wu   +5 more
wiley   +1 more source

Using fuzzy c-means clustering algorithm for common lecturer timetabling among departments [PDF]

Journal of Advances in Computer Engineering and Technology, 2017
University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of
hamed babaei, Jaber Karimpour, Sajjad Mavizi   +2 more
doaj  

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Hybrid Narwhale Optimization with Super Modified Simplex and Runge–Kutta Enhancements: Benchmark Validation and Application to Fuzzy Aggregate Production Planning

Algorithms
Aggregate production planning (APP) helps medium-term production, manpower, inventory, and subcontracting decisions match expected demand. Deterministic planning models are generally ineffective in manufacturing due to demand and operational variability.
Pasura Aungkulanon, Anucha Hirunwat, Roberto Montemanni, Pongchanun Luangpaiboon   +3 more
doaj   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Optimizing berth allocation problem with irregular layout using an improved genetic algorithm under uncertain conditions

Fuzzy Information and Engineering
This study addresses the berth allocation problem (BAP) in container terminals with irregular layouts under epistemic uncertainty conditions, proposing a mixed-integer linear programming (MILP) model to minimize operational costs via spatial-temporal ...
Sima Sargazi, Hassan Mishmast Nehi, Hamed Ahmadzade, Jafare Sayareh   +3 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source