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Keyword: MorphologicalMorphological and Optoelectrical Characterization of Silicon Nanostructures for Photovoltaic Applications
Metal (silver)-Assisted Chemical Etching (MACE) method is used to fabricate silicon nanostructures like silicon nanowires (SiNWs) and silicon nanocones (SiNCs). The morphological characterization of fabricated SiNWs has shown that 5 minutes is the optimal time of silver deposition on silicon substrate. Silicon nanocones (SiNCs) were also fabricated by etching vertical SiNWs with a AgNO3=HF=H2O2 solution.…
Read MoreA Supervised Building Detection Based on Shadow using Segmentation and Texture in High-Resolution Images
Building detection in aerial or satellite imagery is one of the most challenging tasks due to the variety of shapes, sizes, colors, and textures of man-made objects. To this end, in this paper, we propose a novel approach to extracting buildings in high-resolution images based on prior knowledge of the shadow position. Firstly, the image…
Read MoreAn Alternative Approach for Thai Automatic Speech Recognition Based on the CNN-based Keyword Spotting with Real-World Application
An automatic speech recognition (ASR) is a key technology for preventing an ongoing global coronavirus epidemic. Due to the limited corpus database and the morphological diversity of the Thai language, Thai speech recognition is still difficult. In this research, the automatic speech recognition model was built differently from the traditional Thai NLP systems by using…
Read MoreIron-doped Nickel Oxide Nanoparticles Synthesis and Analyzing Different Properties
This is a report describing the impact of calcination on the morphological and optical properties of nanoparticles Iron doped-nickel oxide. By synthetic precipitation, the technique makes use of it. Three samples have been calcined in different temperatures and were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR), UV spectroscopy, and scanning electron microscopy…
Read MoreAn algorithm for Peruvian counterfeit Banknote Detection based on Digital Image Processing and SVM
In this work we propose an algorithm for Peruvian counterfeit banknotes detection. Our algorithm operates in banknotes with 50, 100 and 200 soles denominations that were manufactured from 2009 onwards. This algorithm offers an automatic diagnosis based on digital image processing and support vector machines (SVM). Current Peruvian counterfeit detection systems are specially designed to…
Read MoreA Novel Approach to Augment the Opto-Electronic Properties of Stannic Oxide (SnO2) Thin Films by Vanadium Doping
The Tin Oxide: Vanadium (SnO2: V) thin films have been deposited on glass substrates with various Vanadium concentration at a substrate temperature;500oC using microprocessor-controlled spray pyrolysis technique. The structural, compositional, morphological and optical analyses of the samples are characterized by XRD, EDAX, SEM and UV-Visible spectroscopy. The XRD analysis shows tetragonal rutile structure formation in…
Read MoreA Novel Hybrid Method for Segmentation and Analysis of Brain MRI for Tumor Diagnosis
It is difficult to accurately segment brain MRI in the complex structures of brain tumors, blurred borders, and external variables such as noise. Much research in developing as well as developed countries show that the number of individuals suffering tumor of the brain has died as a result of the inaccurate diagnosis. The proposed article,…
Read MoreOntological and Epistemological Issues of Studying the Development of Uzbekistan in the Context of Globalization from the Point of View of the Paradigm of Civilizations
In this scientific work, the basic synergetic principles of the development of the paradigm of civilizations are substantiated, an assessment of the time boundaries within which civilizations exist, the features of their own path of development of Uzbek culture are revealed. It is especially drawn attention to the sociocultural codes of civilization, a combination of…
Read MoreAn Integrated Framework for Pronominal Anaphora Resolution in Malayalam
Anaphora resolution is one of the old problems in Natural Language Processing. It is the process of identifying the antecedent of an anaphoric expression in a natural language text. Most of the NLP applications such as text summarization, question answering, information extraction, machine translation etc. require the successful resolution of anaphors. In this paper, we…
Read MoreVowel Classification Based on Waveform Shapes
Vowel classification is an essential part of speech recognition. In classical studies, this problem is mostly handled by using spectral domain features. In this study, a novel approach is proposed for vowel classification based on the visual features of speech waveforms. In sound vocalizing, the position of certain organs of the human vocal system such…
Read MoreMRI images Enhancement and Brain Tumor Segmentation
Brain tumor is the abnormal growth of cancerous cells in Brain. The development of automated methods for segmenting brain tumors remains one of the most difficult tasks in medical data processing. Accurate segmentation can improve diagnosis, such as evaluating tumor volume. However, manual segmentation in magnetic resonance data is a laborious task. The main problem…
Read MoreTextural Analysis of Pap Smears Images for k-NN and SVM Based Cervical Cancer Classification System
Early detection and treatment of cervical cancer is crucial to patients’ recovery with a reported success rate of nearly 100%. Presently, Pap smear test which is a visual inspection of cells collected from the ectocervix is the screening tool mainly used in cancer prevention programs. The Pap smear is relatively easy to handle however, it…
Read MoreClassifying region of interests from mammograms with breast cancer into BIRADS using Artificial Neural Networks
Breast cancer is one of the most common cancers among female diseases all over the world. Early diagnosis and treatment is particularly important in reducing the mortality rate. This research is focused on the prevention of breast cancer, therefore it is important to detect micro-calcifications (MCs) which are a sign of early stage breast cancer.…
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