Results 91 to 100 of about 224,583 (217)

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

open access: yesAdvanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim   +4 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Maximum Betti Numbers of Čech Complexes. [PDF]

open access: yesDiscrete Comput Geom
Edelsbrunner H, Pach J.
europepmc   +1 more source

Methane Pyrolysis Performance in Catalytic Molten Media for Hydrogen Production From the Perspective of Bubble Column Reactor Design and Configuration

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In the hydrogen production routes from natural gas (methane), methane pyrolysis offers a cleaner option than the established steam methane reforming by producing CO2‐free hydrogen. However, in fixed bed reactors over solid catalysts, this technology experiences rapid catalyst deactivation due to carbon (coke) deposition encapsulating its ...
Muhammad Irfan Fakarudin   +3 more
wiley   +1 more source

Metal‐CO2 Batteries: By‐Product Challenges and Practical Pathways for Low CO2 Concentration Environment

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Metal‐CO2 batteries have recently emerged as an intriguing class of energy storage and conversion devices that simultaneously utilize and manage carbon dioxide. Originating from studies of CO2 contamination in metal‐air batteries, these systems have evolved into a distinct research direction, offering insights into CO2 electrochemistry and its
Sungmin Choi, Sooyeon Seok, Changmin Kim
wiley   +1 more source

Steam sterilization: Review of autoclaves, validation, instrument packing, and sterility failures. [PDF]

open access: yesIndian J Ophthalmol
Kumaran M   +4 more
europepmc   +1 more source

Descriptive, comparative, and functional anatomy of the facial musculature in cattle (Bos taurus)

open access: yesThe Anatomical Record, EarlyView.
Abstract Facial expressions can provide insight into animal emotions and pain, but no standardized system for assessing the entire facial display in cattle (Bos taurus Linnaeus) exists. The Facial Action Coding System (FACS), originally developed for humans, identifies distinct facial movements based on mimetic muscles.
Maja Söderlind   +6 more
wiley   +1 more source

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