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Items from 1 to 20 out of 440 results

article

Machine vision based local fish recognition

Israt Sharmin, Nuzhat Farzana Islam, Israt Jahan, Tasnem Ahmed Joye, more

SN Applied Sciences > 2019 > 1 > 12 > 1-12

Bangladesh has its own abundance of water resources which helps to identify its customs that are related to freshwater fish. Due to environmental issues along with some other reasons, the amount of water resources of Bangladesh is reducing day-by-day. Consequently, many of our territorial freshwater fishes are getting abolished. Thus, the new generation people of Bangladesh lacks the knowledge of...

article

Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

Alejandro Lopez-Rincon, Marlet Martinez-Archundia, Gustavo U. Martinez-Ruiz, Alexander Schoenhuth, more

BMC Bioinformatics > 2019 > 20 > 1 > 1-17

Background MicroRNAs (miRNAs) are noncoding RNA molecules heavily involved in human tumors, in which few of them circulating the human body. Finding a tumor-associated signature of miRNA, that is, the minimum miRNA entities to be measured for discriminating both different types of cancer and normal tissues, is of utmost importance. Feature selection techniques applied in machine learning can help...

article

Azure Machine Learning tools efficiency in the electroencephalographic signal P300 standard and target responses classification

Grzegorz M. Wójcik, Andrzej Kawiak, Lukasz Kwasniewicz, Piotr Schneider, more

Bio-Algorithms and Med-Systems > 2019 > Vol. 15, no. 3 > 1--8

The Event-Related Potentials were investigated on a group of 70 participants using the dense array electroencephalographic amplifier with photogrammetry geodesic station. The source localisation was computed for each participant. The activity of brodmann areas (BAs) involved in the brain cortical activity of each participant was measured. Then the mean electric charge flowing through particular areas...

article

Analysis of Transform-Based Features on Lateral View Breast Thermograms

Josephine Selle Jeyanathan, A. Shenbagavalli, B. Venkatraman, M. Menaka, more

Circuits, Systems, and Signal Processing > 2019 > 38 > 12 > 5734-5754

Breast cancer is the most serious type of diseases; hence, it requires an efficient diagnosis for an early cure. Thermography for breast screening has achieved breakthroughs in detecting the abnormalities at earlier stages. In this paper, breast thermograms acquired in lateral views are considered for applying transform-based feature extraction. It is necessary to transform the acquired thermograms...

article

A Classifier Based on a Decision Tree with Temporal Cuts

Jan G. Bazan, Adam Szczur, Andrzej Skowron, Marian Rzepko, more

Fundamenta Informaticae > 2019 > Vol. 165, nr 3-4 > 263--281

A new method of decision tree construction from temporal data is proposed in the paper. This method uses the so-called temporal cuts for binary partition of data in tree nodes. The novelty of the proposed approach is that the quality of cuts is calculated not on the basis of the discernibility of objects (related to time points), but on the basis of the discernibility of time windows labeled with...

article

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Satish E. Viswanath, Prathyush V. Chirra, Michael C. Yim, Neil M. Rofsky, more

BMC Medical Imaging > 2019 > 19 > 1 > 1-12

Background For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved large synthetic datasets. More significantly, it is currently unknown how classifier choices and trends generalize across multiple institutions, due to heterogeneous...

article

LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach

N. Rathika, P. Suresh, N. Sathya

Journal of Medical Systems > 2019 > 43 > 1 > 1-13

The eminence of image under test is identified with different methods of Face Recognition (FR) which results in failure due to rapid change in pixel intensity. The identification of similar face with inter class similarity is very difficult in imaging. The imaging technology faces difficult in the mounting of intra class variability because of accommodate, intra-class variability because of head pose,...

article

Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component

David Acunzo, Graham MacKenzie, Mark C. W. Rossum

Cognitive, Affective, & Behavioral Neuroscience > 2019 > 19 > 1 > 123-137

EEG studies suggest that the emotional content of visual stimuli is processed rapidly. In particular, the C1 component, which occurs up to 100 ms after stimulus onset and likely reflects activity in primary visual cortex V1, has been reported to be sensitive to emotional faces. However, difficulties replicating these results have been reported. We hypothesized that the nature of the task and attentional...

article

A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features

Chuya China Bhanja, Mohammad Azharuddin Laskar, Rabul Hussain Laskar

Circuits, Systems, and Signal Processing > 2019 > 38 > 5 > 2266-2296

This paper is aimed at developing a two-stage language identification (LID) system for Northeast Indian languages. In the first stage, languages are pre-classified into tonal and non-tonal categories, and in the second stage, individual languages are identified from languages of the corresponding category. In this work, new parameters to model the prosodic characteristics of the speech signal have...

article

Multimedia analysis for disguised voice and classification efficiency

Mahesh K. Singh, A. K. Singh, Narendra Singh

Multimedia Tools and Applications > 2019 > 78 > 20 > 29395- 29411

For multimedia analysis of electronic disguised method is a speech editing process in which the characteristics of voice have been changed. Frequency spectrum characteristics of the speech signal during electronic disguised have also changed. In this paper proposed a method for deriving an algorithm for extracted the efficiency of disguised voice from its normal voice. By using practical approaches...

article

A novel framework for real-time diseased coral reef image classification

N. Ani Brown Mary, Dejey Dharma

Multimedia Tools and Applications > 2019 > 78 > 9 > 11387- 11425

The new challenge in image processing is in processing submarine coral reef images. The coral reef disease classification from such submarine coral reef images has become an important research activity that helps marine biologist. An automated system is required to extract texture features so as to classify coral reef diseases from captured images. The proposed framework encompasses an efficient feature...

article

A new computational intelligence approach to detect autistic features for autism screening

Fadi Thabtah, Firuz Kamalov, Khairan Rajab

International Journal of Medical Informatics > 2018 > 117 > C > 112-124

Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are typically the first point of contact for patients or family members concerned with ASD traits observed in themselves or their family member. Unfortunately, some families and adult patients are unaware of ASD traits that may be exhibited and as a result...

article

Effects of Early Cues on the Processing of Chinese Relative Clauses: Evidence for Experience‐Based Theories

Fuyun Wu, Elsi Kaiser, Shravan Vasishth

Cognitive Science > 42 > S4 > 1101 - 1133

We used Chinese prenominal relative clauses (RCs) to test the predictions of two competing accounts of sentence comprehension difficulty: the experience‐based account of Levy ([Levy, R., 2008]) and the Dependency Locality Theory (DLT; Gibson, [Gibson, E., 2000]). Given that in Chinese RCs, a classifier and/or a passive marker BEI can be added to the sentence‐initial position, we manipulated the presence/absence...

article

Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text

Saurabh Kumar Srivastava, Sandeep Kumar Singh, Jasjit S. Suri

Journal of Medical Systems > 2018 > 42 > 5 > 1-35

A machine learning (ML)-based text classification system has several classifiers. The performance evaluation (PE) of the ML system is typically driven by the training data size and the partition protocols used. Such systems lead to low accuracy because the text classification systems lack the ability to model the input text data in terms of noise characteristics. This research study proposes a concept...

article

Emotion detection from text and speech: a survey

Kashfia Sailunaz, Manmeet Dhaliwal, Jon Rokne, Reda Alhajj

Social Network Analysis and Mining > 2018 > 8 > 1 > 1-26

Emotion recognition has emerged as an important research area which may reveal some valuable input to a variety of purposes. People express their emotions directly or indirectly through their speech, facial expressions, gestures or writings. Many different sources of information, such as speech, text and visual can be used to analyze emotions. Nowadays, writings take many forms of social media posts,...

article

Electromyographic Signal-Driven Continuous Locomotion Mode Identification Module Design for Lower Limb Prosthesis Control

Rohit Gupta, Ravinder Agarwal

Arabian Journal for Science and Engineering > 2018 > 43 > 12 > 7817-7835

The purpose of current research work is to extract physiological information form surface electromyographic signal (sEMG) in efficient manner for different human locomotion and utilize it for lower limb prosthesis control. The proposed locomotion mode identification approach conserves the novelty in terms of its dependency on only single muscle electromyographic signal and independency on human gait...

article

Classifiers and their Metrics Quantified

J. B. Brown

Molecular Informatics > 37 > 1-2 > n/a - n/a

Molecular modeling frequently constructs classification models for the prediction of two‐class entities, such as compound bio(in)activity, chemical property (non)existence, protein (non)interaction, and so forth. The models are evaluated using well known metrics such as accuracy or true positive rates. However, these frequently used metrics applied to retrospective and/or artificially generated prediction...

article

Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer

Qingzhou Guan, Haidan Yan, Yanhua Chen, Baotong Zheng, more

BMC Genomics > 2018 > 19 > 1 > 1-11

Background Due to experimental batch effects, the application of a quantitative transcriptional signature for disease diagnoses commonly requires inter-sample data normalization, which would be hardly applicable under common clinical settings. Many cancers might have qualitative differences with the non-cancer states in the gene expression pattern. Therefore, it is reasonable to explore the power...

article

An implementation of optimized framework for action classification using multilayers neural network on selected fused features

Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, Muhammad Younus Javed, more

Pattern Analysis and Applications > 2019 > 22 > 4 > 1377-1397

In video sequences, human action recognition is a challenging problem due to motion variation, in frame person difference, and setting of video recording in the field of computer vision. Since last few years, applications of human activity recognition have increased significantly. In the literature, many techniques are implemented for human action recognition, but still they face problem in contrast...

article

Databases, features and classifiers for speech emotion recognition: a review

Monorama Swain, Aurobinda Routray, P. Kabisatpathy

International Journal of Speech Technology > 2018 > 21 > 1 > 93-120

Speech is an effective medium to express emotions and attitude through language. Finding the emotional content from a speech signal and identify the emotions from the speech utterances is an important task for the researchers. Speech emotion recognition has considered as an important research area over the last decade. Many researchers have been attracted due to the automated analysis of human affective...

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Search results

Machine vision based local fish recognition

Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

Azure Machine Learning tools efficiency in the electroencephalographic signal P300 standard and target responses classification

Analysis of Transform-Based Features on Lateral View Breast Thermograms

A Classifier Based on a Decision Tree with Temporal Cuts

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach

Spatial attention affects the early processing of neutral versus fearful faces when they are task-irrelevant: a classifier study of the EEG C1 component

A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features

Multimedia analysis for disguised voice and classification efficiency

A novel framework for real-time diseased coral reef image classification

A new computational intelligence approach to detect autistic features for autism screening

Effects of Early Cues on the Processing of Chinese Relative Clauses: Evidence for Experience‐Based Theories

Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text

Emotion detection from text and speech: a survey

Electromyographic Signal-Driven Continuous Locomotion Mode Identification Module Design for Lower Limb Prosthesis Control

Classifiers and their Metrics Quantified

Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer

An implementation of optimized framework for action classification using multilayers neural network on selected fused features

Databases, features and classifiers for speech emotion recognition: a review

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