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Driver Activity Monitoring Using MobileNets
Driver assistance technologies such as self-driving, automated parking, cruise control have improved exponentially and have much more relevance today... -
Driver Activity Monitoring Using MobileNets
This paper presents a method to monitor the driver’s activity and continuously look for red flags such as distracted driving, overuse of mobile... -
Weed Detection in Crops Using Lightweight EfficientNets
Crop cultivation predominantly depends on how well the weed’s emergence or growth can be controlled. Weed management using chemicals such as... -
Comparative Analysis of Fine-Tuned MobileNet Versions on Fish Disease Detection
Smart aquaculture farming is gradually becoming more popular and widely adopted in many fish farms, ranging from small to medium scale. To ensure... -
A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs
In recent years, Convolutional Neural Network CNN have been incorporated in a large number of applications, including multimedia retrieval and image...
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Tree Trunks Cross-Platform Detection Using Deep Learning Strategies for Forestry Operations
To tackle wildfires and improve forest biomass management, cost effective and reliable mowing and pruning robots are required. However, the... -
Fingerprint Liveliness Detection to Mitigate Spoofing Attacks Using Generative Networks in Biometric System
Today fingerprint detection system is being used widely, from a corporate office to military camps. They are secure, have speed and accurate, but... -
Using Deep Learning Methods to Predict Walking Intensity from Plantar Pressure Images
People with diabetes are recommended to perform exercise such as brisk walking to maintain their health. However, a fast walking speed can increase... -
A Novel Approach to Optimize Deep Neural Network Architectures
Deep Neural Networks have the generic layers and have appeared as a strong Machine Learning model as they use a different approach for classification... -
Baldness Recognition Using Transfer Learning Method Based on Android Application
The intention of this study is to classify one of the attributes of facial feature detection using the transfer learning approach. CelebA picture... -
Sign Detection Using an N-Gram Language Model and MobileNet
Typically a human being has no trouble communicating with each other through speech, gestures, body language, reading, and writing. However, people... -
Pedestrian Lane Control System with Alert System
Pedestrian accidents are inevitable despite the inclusion of pedestrian lanes. Vehicle users tend to neglect pedestrian lanes unless law enforcers... -
Implementation of Custom-Based Mobile-Network Model for Early Blight Detection in Tomatoes
This study introduces an advanced framework for plant disease detection, specifically classifying tomato images into “Early Blight” and “Healthy”... -
Disease Detection in Cassava Leaf Using Ensembling of EfficientNet, ResNext, ViT, DeIT and MobNetV3
Plant leaf diseases have always been a matter of concern for the farmers. With increasing population, the demand for crops has increased which makes... -
TPOT Automated Machine Learning Approach for Multiple Diagnostic Classification of Lung Radiography and Feature Extraction
This chapter describes an AUTO-ML strategy to detect COVID on chest X-rays utilizing Transfer Learning feature extraction and the AutoML TPOT... -
Algorithmic Background for Machine Learning
This chapter provides a detailed discussion of the machine learning models typically deployed on (extreme) edge devices. This is necessary to... -
Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention
Social media has become the primary source for the public for seeking news and updates in crisis such as disasters. However, the information sought... -
Automatic Detection of Diabetic Retinopathy from Retinal Fundus Images Using MobileNet Model
Diabetes can lead to a number of eye disorders, such as glaucoma, cataracts, and diabetic retinopathy, which can be defined as damage to the retinal... -
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems
Depth sensors play a major role in the control pipeline of semi-autonomous prostheses. The feed from these sensors can complement, or even... -
Svana: Sound Classification Device for Hearing Impaired
The purpose of this study is to determine the value of an environmental sound classification device for classifying diverse ambient sounds for...