Results 111 to 120 of about 11,947 (275)

Achieving Carbon Neutrality: Strategic Pathways to Sustainability and Net Zero in Manufacturing Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K., Sivakumar K., Jayakrishna Kandasamy, Umesh Kumar, Anil Kumar, Ashutosh Samadhiya   +5 more
wiley   +1 more source

Fractional differential equation with the fuzzy initial condition

Electronic Journal of Differential Equations, 2011
Summary: We study the existence and uniqueness of the solution for a class of fractional differential equations with fuzzy initial value. The fractional derivatives are considered in the Riemann-Liouville sense.
Sadia Arshad, Vasile Lupulescu
openaire   +2 more sources

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Heat Load Mitigation Studies in the W7‐X Stellarator Experiment

Contributions to Plasma Physics, EarlyView.
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks, Amit Kharwandikar, Jasper Dettmar, Michael Endler, Joris Fellinger, Yu Gao, Joachim Geiger, Marcin Jakubowski, Thomas Sieber, Sebastian Thiede, Christian Voß, W7‐X Team   +11 more
wiley   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source

A modified fuzzy Adomian decomposition method for solving time-fuzzy fractional partial differential equations with initial and boundary conditions

Boundary Value Problems
This research article introduces a novel approach based on the fuzzy Adomian decomposition method (FADM) to solve specific time fuzzy fractional partial differential equations with initial and boundary conditions (IBCs).
Nagwa A. Saeed, Deepak B. Pachpatte
doaj   +1 more source

Dual‐Mode Electrophoretic Displays Enabled by Quantum Dot‐Decorated PR48:2 Pigment Particles and TiO2 for All‐Weather Visibility, Excellent Bistability, and Enhanced Readability

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a novel quantum dot electrophoretic display (QDEPD), which combines electro‐controlled reflection and optically‐triggered emission to achieve efficient multi‐modal switching within a single pixel. By incorporating multi‐component nanostructures, the system enhances functional integration and multi‐modal response capabilities.
Xingke Zheng, Yun Ye, Hongxing Xie, Yuanyi Liu, Ruihan Lin, Guangyou Liu, Tianyong Guan, Enguo Chen, Tailiang Guo   +8 more
wiley   +1 more source