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Human epilepsy is a disease characterized by sudden, unprovoked, recurrent seizures accompanied by pathological electrical activity in the brain, and is frequently resistant to drug treatment. The ability to anticipate t...

In this paper we improve the face detection and segmentation technique proposed in [1]. In order to obtain the shape of the face, we use a region based approach and find the face as a set of regions from a generic segmen...

The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research i...

Este libro es producto del grupo de investigación: “olfateando el conocimiento”, perteneciente a la Escuela de Guías y Adiestramiento canino de la Policía Nacional de Colombia, en colaboración con el Instituto de...

Subjects / keywords: HAAGENSEN, CUSHMAN D; W. B. SAUNDERS COMPANY; 616.99449 H111b

Subjects / keywords: HARVARD UNIVERSITY PRESS; 612.405 H812h

Subjects / keywords: GRUNE & STRATTON; 616.99449 M265m

Subjects / keywords: BARRET, HARRISON; ACADEMIC PRESS; 616.0757 B274r

Computer Intrusion Detection Systems (IDS) are primarily designed to protect availability, condentiality and integrity of critical information infrastructures. A Distributed IDS (DIDS) consists of several IDS over a larg...

The fast evolution of Botnet malware made it extremely difficult to detect. Despite it can be just considered as a tool, nowadays it has become one of the most dangerous threats for system administrators. Botnets are us...

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP...

This work-in-progress paper surveys error detection techniques for transient, timing, permanent and logical errors in system-on-chip (SoC) design and discusses their applicability in the design of monitors for our Autono...

"The rapid proliferation of deepfake videos poses a growing threat to the integrity of digital information and public discourse. Traditional detection methods, often based on convolutional neural networks or artifact-spe...

Intrusion Detection System (IDS) have been the key in the network manager daily fight against continuous attacks. However, with the Internet growth, network security issues have become more difficult to handle. Jointly, ...

This paper discusses a system which uses machine vision algorithms for the detection of tubes in an extremely "noisy" industrial environment . The heart of the algorithm consists of sampling of the image in predefined sp...

"The broad range of applications for automatic expression detection sparks the need for a robust and effective implementation. In this paper, an exposition of the existing methods most frequently used for this purpose is...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper,...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, ...

Deforestation poses a significant threat to natural ecosystems, particularly in Argentina’s Chaco region—one of the world’s most rapidly changing forest areas. This study focuses on the detection of sudden deforest...

Cell adhesion is a fundamental biological process underpinning various physiological and pathological phenomena, including tissue repair and cancer metastasis. While straightforward, traditional assays for assessing cell...

"Epilepsy is a main public health issue. An appropriate epileptiform discharges pattern detection of this neurological disease, is a typical problem in biomedical engineering. In this paper, a new method is proposed for ...

In todays world where nearly every company is dependent on the Internet to survive, it is not surprising that the role of intrusion detection has become extremely important within the last decade. Intrusion detection inv...

"Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, in particular the early detection of epileptic seizures....

Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree ...