Results 61 to 70 of about 118,288 (291)
Streamlining YOLOv7 for Rapid and Accurate Detection of Rapeseed Varieties on Embedded Device
Real-time seed detection on resource-constrained embedded devices is essential for the agriculture industry and crop yield. However, traditional seed variety detection methods either suffer from low accuracy or cannot directly run on embedded devices ...
Siqi Gu, Wei Meng, Guodong Sun
doaj +1 more source
Efficient parallel mining of association rules on shared-memory multiple-processor machine [PDF]
In this paper we consider the problem of parallel mining of association rules on a shared-memory multiprocessor system. Two efficient algorithms PSM and HSM have been proposed. PSM adopted two powerful candidate set pruning techniques distributed pruning
Cheung, David W, Hu, Kan, Xia, Shaowei
core +1 more source
Pruning strategies for efficient online globally consistent mosaicking in fetoscopy [PDF]
Twin-to-twin transfusion syndrome is a condition in which identical twins share a certain pattern of vascular connections in the placenta. This leads to an imbalance in the blood flow that, if not treated, may result in a fatal outcome for both twins. To treat this condition, a surgeon explores the placenta with a fetoscope to find and photocoagulate ...
Tella-Amo, Marcel +6 more
openaire +4 more sources
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
A flexible pruning on deep convolutional neural networks
Despite the successful application of deep convolutional neural networks, due to the redundancy of its structure, the large memory requirements and the high computing cost lead it hard to be well deployed to the edge devices with limited resources ...
Liang CHEN +5 more
doaj +2 more sources
Index ordering by query-independent measures [PDF]
Conventional approaches to information retrieval search through all applicable entries in an inverted file for a particular collection in order to find those documents with the highest scores. For particularly large collections this may be extremely time
Alan F. Smeaton +28 more
core +1 more source
xx xx. ABSTRACT Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by disrupted neuronal circuit maturation. Emerging evidence implicates microglial function and mitochondrial regulation as contributors to ASD‐associated biology, yet the mechanisms linking these processes to neuronal development remain poorly defined ...
Sydney P. Sterben +4 more
wiley +1 more source
A Pruning Method for Deep Convolutional Network Based on Heat Map Generation Metrics
With the development of deep learning, researchers design deep network structures in order to extract rich high-level semantic information. Nowadays, most popular algorithms are designed based on the complexity of visible image features.
Wenli Zhang +4 more
doaj +1 more source
Coffee berry borer triple-action integrated pest management [PDF]
Coffee berry borer ( Hypothenemus hampei Ferrari) control is presented in the form of triple-action integrated pest management: meticulous agronomic control of the coffee plantation, strict branch stripping and trapping. Agronomic control includes coffee
Dufour, Bernard Pierre
core

