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The importance of selecting the optimal number of principal components for fault detection using principal component analysis [PDF]

, 2012
Includes summary.Includes bibliographical references.Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization.
Khwambala, Patricia Helen
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Automatic identification of non-biting midges (Chironomidae) using object detection and deep learning techniques

, 2022
This paper introduces an automated method for the identification of chironomid larvae mounted on microscope slides in the form of a computer-based identification tool using deep learning techniques.
Vega, Rodrigo +2 more
core +1 more source

Tibetan Butter and Indian Ghee: A Review on Their Production and Adulteration

Agriculture
Tibetan butter and Indian ghee are both fat products derived from cow’s milk or other dairy products that are rich in nutrients. Although both Tibetan butter and Indian ghee are primarily produced by filtering, heating, separating, cooling, and molding ...
Fumin Chi +4 more
doaj +1 more source

Unsupervised clustering approach for network anomaly detection

, 2012
This paper describes the advantages of using the anomaly detection approach over the misuse detection technique in detecting unknown network intrusions or attacks.
Syarif, Iwan, Prugel-Bennett, Adam, Wills, Gary B. +2 more
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Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP – EffUnet Classification

, 2021
Main problem in current research area focused on generating automatic AI technique to detect bio medical images by slimming the dataset. Reducing the original dataset with actual unwanted noises can accelerate new data which helps to detect diseases with
Enamul Kabir +7 more
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Recent Advances in Detection and Control Strategies for Foodborne Bacteria in Raw and Ready‐to‐Eat Fruits and Vegetables

Food Frontiers
The prevalence of foodborne outbreaks due to the consumption of uncooked and ready‐to‐eat fruits and vegetables has seen a noticeable increase, particularly in environments lacking sanitation.
Asem M. Abdelshafy +7 more
doaj +1 more source

A BOTNET DETECTION TECHNIQUES

, 2014
Botnets are emerging as the most serious threat against cyber-security as they provide adistributed platform for several illegal activities such as launching distributed denial of service attacksagainst critical targets, malware dissemination, phishing ...
Harshita Kanani (576566), Riya Parmar (576565) +1 more
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Advances in the detection technology of vegetable soil borne fungi and bacteria

Frontiers in Microbiology
Soil borne diseases are one of the most serious diseases which often results the decline of vegetables quality and loss of production. Moreover, it is difficult for plants to exhibit disease symptoms in the early stages attributing to strong concealment ...
Lida Chen +7 more
doaj +1 more source

Polyphasic identification of preharvest pathologies and disorders in avocado cv. Hass

Agronomía Colombiana, 2019
Diseases and disorders are one of the main limitations of avocado crops for export and national markets. However, they are poorly studied in tropical countries such as Colombia. The objective of this research was to evaluate a polyphasic approach for the
Joaquín Guillermo Ramírez-Gil, Juan Gonzalo Morales +1 more
doaj +1 more source

MPOE Based Adaptive Multiuser Detection

, 2008
Introduction . Continuous Time Discrete Time . MPOE Based Methods: Introduction . Probability of Error Expressions Probability Distribution of the Decision Statistics Joint Probability Conditional Probability .
Multiuser Detection Brief
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