Transfer learning for image classification using VGG19: Caltech-101 image data set
Image classification is getting more attention in the area of computer vision. During the past
few years, a lot of research has been done on image classification using classical machine …
few years, a lot of research has been done on image classification using classical machine …
Object recognition and detection with deep learning for autonomous driving applications
Autonomous driving requires reliable and accurate detection and recognition of surrounding
objects in real drivable environments. Although different object detection algorithms have …
objects in real drivable environments. Although different object detection algorithms have …
Faster-PestNet: A Lightweight deep learning framework for crop pest detection and classification
One of the most significant risks impacting crops is pests, which substantially decrease food
production. Further, prompt and precise recognition of pests can help harvesters save …
production. Further, prompt and precise recognition of pests can help harvesters save …
A review of convolutional neural networks and gabor filters in object recognition
Convolutional neural networks (CNNs) have become a classic approach to solving
challenging computer vision problems. Much of its success is due to its ability to discover …
challenging computer vision problems. Much of its success is due to its ability to discover …
Sequential modeling of deep features for breast cancer histopathological image classification
Computerized approaches for automated classification of histopathology images can help in
reducing the manual observational workload of pathologists. In recent years, like in other …
reducing the manual observational workload of pathologists. In recent years, like in other …
Querying little is enough: model inversion attack via latent information
K Mo, T Huang, X **ang - Machine Learning for Cyber Security: Third …, 2020 - Springer
With the development of machine learning (ML) technology, various online intelligent
services use ML models to provide predictions. However, attacker may obtain privacy …
services use ML models to provide predictions. However, attacker may obtain privacy …
DeepVeil: deep learning for identification of face, gender, expression recognition under veiled conditions
ABA Hassanat, AA Albustanji… - International …, 2022 - inderscienceonline.com
Biometric recognition based on the full face is an extensive research area. However, using
only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep …
only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep …
A CNN-BiLSTM based hybrid model for Indian language identification
Automatic language identification (LID) is the practice of detecting the language through
linguistic content of speech spoken by certain anonymous speaker. In multi-lingual based …
linguistic content of speech spoken by certain anonymous speaker. In multi-lingual based …
On fusing the latent deep CNN feature for image classification
Image classification, which aims at assigning a semantic category to images, has been
extensively studied during the past few years. More recently, convolution neural network …
extensively studied during the past few years. More recently, convolution neural network …
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies
C Donadio, M Brescia, A Riccardo, G Angora… - Scientific Reports, 2021 - nature.com
Several approaches were proposed to describe the geomorphology of drainage networks
and the abiotic/biotic factors determining their morphology. There is an intrinsic complexity of …
and the abiotic/biotic factors determining their morphology. There is an intrinsic complexity of …