Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges

JA Wani, S Sharma, M Muzamil, S Ahmed… - … methods in Engineering, 2022 - Springer
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …

Content-based image retrieval: A review of recent trends

IM Hameed, SH Abdulhussain… - Cogent Engineering, 2021 - Taylor & Francis
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …

Intrusion detection system using feature extraction with machine learning algorithms in IoT

D Musleh, M Alotaibi, F Alhaidari, A Rahman… - Journal of Sensor and …, 2023 - mdpi.com
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …

Towards better exploiting convolutional neural networks for remote sensing scene classification

K Nogueira, OAB Penatti, JA Dos Santos - Pattern Recognition, 2017 - Elsevier
We present an analysis of three possible strategies for exploiting the power of existing
convolutional neural networks (ConvNets or CNNs) in different scenarios from the ones they …

Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

OAB Penatti, K Nogueira… - Proceedings of the IEEE …, 2015 - cv-foundation.org
In this paper, we evaluate the generalization power of deep features (ConvNets) in two new
scenarios: aerial and remote sensing image classification. We evaluate experimentally …

Intelligent multi-camera video surveillance: A review

X Wang - Pattern recognition letters, 2013 - Elsevier
Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

Nus-wide: a real-world web image database from national university of singapore

TS Chua, J Tang, R Hong, H Li, Z Luo… - Proceedings of the ACM …, 2009 - dl.acm.org
This paper introduces a web image dataset created by NUS's Lab for Media Search. The
dataset includes:(1) 269,648 images and the associated tags from Flickr, with a total of 5,018 …

SenticNet

E Cambria, A Hussain, E Cambria… - Sentic computing: a …, 2015 - Springer
SenticNet is the knowledge base which the sentic computing framework leverages on for
concept-level sentiment analysis. This chapter illustrates how such a resource is built. In …

[图书][B] Modern information retrieval

R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Content-based image retrieval using color difference histogram

GH Liu, JY Yang - Pattern recognition, 2013 - Elsevier
This paper presents a novel image feature representation method, namely color difference
histograms (CDH), for image retrieval. This method is entirely different from the existing …