Photo Semantic Understanding and Retargeting by a Noise-Robust Regularized Topic Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Retargeting aims at displaying a photo with an arbitrary aspect ratio, wherein the visually/semantically prominent objects are appropriately preserved and visual distortions can be well alleviated.
Guifeng Wang +3 more
doaj +1 more source
Encoding Human Visual Perception Into Deep Hashing for Aerial Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Accurately calculating the labels of each high-resolution image is an unavoidable technique in remote sensing. In this article, we propose a novel image assortment model that personate each aerial image by optimally encoding a gaze shifting path (GSP ...
Minghui Xu +4 more
doaj +1 more source
Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis
Applied Bionics and Biomechanics, 2022 The machine-driven products processed by CNC machine tools are divided into multiple parts, which are often transmitted to unqualified processing crystals due to the error of the part’s posture, thus affecting the projection effect.
Guifeng Wang +2 more
doaj +1 more source
Deadwood Amount at Disturbance Plots after Sanitary Felling
Plants, 2022 Deadwood is an important component of forests that fulfils many ecosystem functions. The occurrence, amount and spatial distribution of deadwood in forest ecosystems depend on tree species composition, historical development and past management.
Ján Merganič +8 more
doaj +1 more source
Neighboring Algorithm for Visual Semantic Analysis toward GAN-Generated Pictures
Applied Bionics and Biomechanics, 2022 Generative adversarial network (GAN)-guided visual quality evaluation means scoring GAN-propagated portraits to quantify the degree of visual distortions. In general, there are very few image- and character-evaluation algorithms generated by GAN, and the
Lu-Ming Zhang, Yichuan Sheng
doaj +1 more source
Aerial Photograph Categorization by Cross-Resolution Deep Human Gaze Behavior Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Accurately recognizing aerial photographs is a useful technique in many domains like autonomous driving and environmental evaluation. In practice, both low-resolution and high-resolution aerial photos are captured asynchronistically for each region, as ...
Luming Zhang +3 more
doaj +1 more source
Recent Development in Nanomaterial-Based Electrochemical Sensors for Cholesterol Detection
Chemosensors, 2021 Functional nanomaterials have attracted significant attention in a variety of research fields (in particular, in the healthcare system) because of the easily controllable morphology, their high chemical and environmental stability, biocompatibility, and ...
Hemraj Mahipati Yadav +3 more
doaj +1 more source
Deep-Learning-Guided Point Cloud Modeling with Applications in Intelligent Manufacturing
Applied Bionics and Biomechanics, 2022 Machining feature recognition is a key technology to realize CAD/CAPP/CAM system integration. Aiming at high robustness of traditional processing feature recognition in image reasoning, an automatic processing shape recognition method based on fuzzy ...
Guifeng Wang +2 more
doaj +1 more source
Collision-free inverse kinematics of the redundant seven-link manipulator used in a cucumber picking robot [PDF]
, 2010 The paper presents results of research on an inverse kinematics algorithm that has been used in a functional model of a cucumber-harvesting robot consisting of a redundant P6R manipulator.
Barreiro Elorza, Pilar +4 more
core +9 more sources
Enhanced vibrational energy harvesting using non-linear stochastic resonance [PDF]
, 2008 Stochastic resonance has seen wide application in the physical sciences as a tool to understand weak signal amplification by noise. However, this apparently counter- intuitive phenomenon does not appear to have been exploited as a tool to enhance ...
Almog +18 more
core +1 more source