Results 131 to 140 of about 1,606,057 (299)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Visualization and Analysis of Mapping Knowledge Domain of Heterogeneous Traffic Flow.

Comput Intell Neurosci, 2022
He Y, Feng Q, Yan L, Lu XY.
europepmc   +1 more source

Traffic engineering manual

, 2002
Title from "Main Index."; Dates vary: Cover/spine, pt. 5, 7-10, 13 last rev. 10/23/02; preface material. table of contents, pt. 1-4, 6, 11-12, 14 last rev. 01/17/03.; Harvested from the web on 2/11/03pt. 1. General -- pt. 2. Signs -- pt. 3.
Ohio.Office of Traffic Engineering
core  

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

[Tools] Marine Traffic

, 2023
Marine Traffic gathers data from more than 18,000 AIS equipped volunteer contributors in over 140 countries around the world. Information provided by the volunteer AIS equipment includes vessel unique identification, position, course, and speed.
Marine Traffic
core  

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

An Adaptive Class-Wise Leader–Follower Pair Identification Framework and Behavioural Regimes in Heterogeneous Traffic

IEEE Access
Road traffic in developing countries operates under heterogeneous, weak lane disciplined (HWLD) conditions, with diverse vehicle types, and high manoeuvrability, making reliable identification of vehicle-following (VF) behaviour and leader– ...
Susan Eldhose, Bhargava Rama Chilukuri, Chandrasekharan Rajendran   +2 more
doaj   +1 more source

Some aspects of traffic control and performance evaluation of ATM networks [PDF]

, 1997
The emerging high-speed Asynchronous Transfer Mode (ATM) networks are expected to integrate through statistical multiplexing large numbers of traffic sources having a broad range of statistical characteristics and different Quality of Service (QOS ...
Fan, Zhong, Fan, Z.
core  

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Decentralized Multi-Agent DQN-Based Resource Allocation for Heterogeneous Traffic in V2X Communications

IEEE Access
Vehicle-to-everything (V2X) communication is a pivotal technology for advanced driving, encompassing autonomous driving and Intelligent Transportation Systems (ITS).
Insung Lee, Duk Kyung Kim
doaj   +1 more source