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A stroke occurs when the blood supply to a person's brain is interrupted or reduced. The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of predictive data mining technologies. In this work, we compare different methods with our approach for stroke prediction...
Automatic identification and recognition of medicinal plant species in environments such as forests, mountains and dense regions is necessary to know about their existence. In recent years, plant species recognition is carried out based on the shape, geometry and texture of various plant parts such as leaves, stem, flowers etc. Flower based plant species identification systems are widely used. While...
In this paper Content Base Image Retrieval (CBIR) system with relevance feedback is presented, where image database search is performed using singularity strength (Holder exponent). Images in database are described with low-level features for color and texture, which are concatenated in feature vectors (FV). Relevance feedback is implemented in CBIR system employing the artificial intelligence based...
Artificial Intelligence or AI is a subfield of computer science, which can be defined as the intelligence exhibited by a machine or a software having a remarkable impact on the field of biology and medicine. Imaging, on the other hand has become an essential component of many fields in medicine, biomedical applications, biotechnology and laboratory research by which images are processed and analysed...
In the paper the method of the transformation of the learning samples into their representatives is presented. The proposed algorithm combines the features of the neural nets approach, i.e. the representatives lie near the boundaries separating the classes, and cluster seeking approach — each representative corresponds to the group of elements lying close to each other. By using the consistent subset...
Using EMG signals as control signals has been a widely accepted option in the last decades. Using a wide array of techniques, EMG signals can be used in a variety of practical ways, from prostethics to exoesqueletons, however a concrete functional relationship between EMG signals and the dynamic and kinematic aspects of the upper limbs has not been established. Nowadays, almost every device that uses...
The industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, features calculation, features reduction and classification are being applied. However, in this paper, in order to enhance the condition monitoring capabilities, a forecasting approach...
The development of intelligent power quality (PQ) disturbances classification and analysis tools exploited various digital signal-processing techniques to extract important features from the PQ signals. The purpose of this paper is to present a comprehensive review and discussion of the advanced tools for the automatic classification of PQ disturbances. The digital signal-processing tools applied...
In this paper, we present a model for Turkish speech recognition. The model is syllable-based, where the recognition is performed through syllables as speech recognition units. The main goal of the model is to recognize as much as possible of a given continuous speech by identifying only a small set of syllables in the language. For that purpose, only the syllable types with a higher frequency are...
This paper presents two software systems for visual affect and learning styles recognition. The first system recognizes Paul Ekman's seven basic emotions in student expressions which are surprise, fear, disgust, anger, happiness, sadness, and neutral. The second system recognizes the student learning style using the Felder-Silverman Model. Both systems are integrated into an intelligent tutoring system...
Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic...
Up to now a large number of approaches and algorithms about biometric recognition techniques have been developed and proposed in the literature in details. Relationships about biometrics have recently been studied in the field by author research group. This paper presents a web based intelligent face mask prediction system based on artificial neural networks to predict faces from only fingerprint...
This paper presents the ripeness classification of oil palm fresh fruit bunch (FFB) using artificial neural network (ANN). ANN method was used to automate the decision of grading oil plam FFBs, replacing the manual human grading method. A total of 80 oil palm FFB samples from unripe, underripe, ripe and overripe categories were collected. Images of oil palm FFB were obtained using a color digital...
Snort is an open source network intrusion detection and prevention system (IDS/IPS) utilizing a rule-driven language, its shortcoming is unable to detect new attacks. This paper explores how to integrate Artificial Intelligence into Snort IDS/IPS, which enables IDS/IPS adapt to networks and detect anomalies. As for preprocessors of Snort IDS, a learning algorithm such as artificial neural network...
Due to a wide spectrum of applications, autonomous ground vehicle navigation based on visual information has rapidly developed in the past decade. These applications include intelligence transportation systems, military robots and mars/lunar robot rovers. However, most of the attention was focused on navigating the robot in day light environment using visual spectrum images captured from CCD cameras...
Biometric systems identify individuals by comparison of the individual biometric traits, such as the fingerprint patterns. In the literature, many relevant methods are based on the localization of a reference “pivot” point of the fingerprint, called principal singular point (PSP). Most of the time, the PSP is selected from the list of the estimated singular points (SPs) that are identified by specific...
Face Recognition is the process of identification of a person by his facial image. As applied to face recognition, this paper proposes a method, comprising of Laplacian of Gaussian (LoG) filter for intricate facial detail enhancement, Singular Value Decomposition (SVD) for holistic feature extraction and Feed forward Neural Network (FFNN) for classification. Applications of LoG filter highlights,...
Most of the research works in Information Extraction focus only on written language processing, in which a few are devoted to the study of Spoken Language Information Extraction. This paper discusses a novel technique for recognition of the isolated question words from Malayalam (one of the south Indian languages) speech query. We have created and analyzed a database consisting of 250 isolated question...
Presently, most maintenance decisions are mainly based on failure event. Nevertheless, in many cases and for many types of equipment this event can rarely be seen or can happen after many years of utilization. In these cases, maintenance decisions are based on fault diagnostics. This paper presents an artificial intelligent approach to fault detection and diagnosis. This approach is called Logical...
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