Results 61 to 70 of about 176,187 (274)

A Novel Approach to Face Recognition using Image Segmentation based on SPCA-KNN Method [PDF]

open access: yes, 2013
In this paper we propose a novel method for face recognition using hybrid SPCA-KNN (SIFT-PCA-KNN) approach. The proposed method consists of three parts.
Benco, M.   +5 more
core   +1 more source

Liquid Metal Sensors for Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang   +7 more
wiley   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

open access: yesAdvanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza   +3 more
wiley   +1 more source

Comparative Analysis of Classification Methods of KNN and Naïve Bayes to Determine Stress Level of Junior High School Students

open access: yesIndonesian Journal of Information Systems, 2020
Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter.
Yohanes Christopher Tapidingan   +1 more
doaj   +1 more source

Joint Regression and Ranking for Image Enhancement

open access: yes, 2017
Research on automated image enhancement has gained momentum in recent years, partially due to the need for easy-to-use tools for enhancing pictures captured by ubiquitous cameras on mobile devices.
Chandakkar, Parag S., Li, Baoxin
core   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

open access: yesAdvanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou   +4 more
wiley   +1 more source

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

open access: yesAdvanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl   +3 more
wiley   +1 more source

Predicting Cardiovascular Disease with Machine Learning Algorithms: A Review [PDF]

open access: yesITM Web of Conferences
Early detection of cardiovascular disease symptoms is one of the hardest things for professionals to do. Cardiovascular disease comes in many forms, including stroke, congenital heart disease (CHD), peripheral artery disease (PAD), and coronary artery ...
Bhavsar Maitri, Patel Manish
doaj   +1 more source

Chiral damping, chiral gyromagnetism and current-induced torques in textured one-dimensional Rashba ferromagnets

open access: yes, 2017
We investigate Gilbert damping, spectroscopic gyromagnetic ratio and current-induced torques in the one-dimensional Rashba model with an additional noncollinear magnetic exchange field.
Blügel, Stefan   +2 more
core   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

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