Results 221 to 230 of about 1,848,404 (307)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Spatial dynamics of lithium battery recycling enterprises in China: implications for smart waste management and public health. [PDF]
Hu F +9 more
europepmc +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
A full belly counsels well: More stabilisation with more responsibility. [PDF]
Sheng X.
europepmc +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Tracking business opportunities for climate solutions using AI in regulated accounting reports. [PDF]
Lu S, Serafeim G, Xu S, Awada M.
europepmc +1 more source
A large number of businesses have implemented sustainability and corporate responsibility programs in the last five to ten years, mostly in the absence of immediate regulatory or carbon pricing pressure. In this paper, I examine the incentives for companies to engage in these sustainability efforts a part of “business as usual,” and the degree to which
openaire
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review. [PDF]
Tyagi PK +4 more
europepmc +1 more source

