2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)最新文献_第4页

Machine Learning Techniques for Autism Spectrum Disorder: current trends and future directions 自闭症谱系障碍的机器学习技术:当前趋势和未来方向

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068658

Kainat Khan, R. Katarya

{"title":"Machine Learning Techniques for Autism Spectrum Disorder: current trends and future directions","authors":"Kainat Khan, R. Katarya","doi":"10.1109/ICITIIT57246.2023.10068658","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068658","url":null,"abstract":"ASD or autism spectrum disorder is a critical neuro-developmental disorder that hinders an individual's capability of social communication and interaction. This disorder has acquired considerable attention and importance due to its ubiquity among individuals covering all the countries worldwide. Individuals with ASD struggles in daily life activities. Detection of autism with the help of medical tests is a tedious and very costly task. However, detection and care of ASD still remains unfamiliar due to inadequate awareness, knowledge among the society, limited number of diagnostic devices and limited verbal therapy services for ASD patients. This paper investigates and displays reviews of various machine learning approaches on extracting useful data associated with distinctive characteristics of ASD such as brain functioning, hyperactivitperactivity, language disability, etc. Current researches reveal that analysis of biological traits by employing machine learning techniques have helped in the progress of early detection of ASD. ABIDE dataset is very much explored for the research in ASD. Additionally, numerous studies for the advancement of tools are still in progression. The presented research work can remarkably aid future studies on machine learning for ASD.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121001377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approaches for Plant Leaf Classification: A Review 植物叶片分类方法综述

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068650

Sweety Kunjachan, Kala S

引用次数: 0

Attention-based Model for Multi-modal sentiment recognition using Text-Image Pairs 基于注意的文本-图像对多模态情感识别模型

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068626

Ananya Pandey, D. Vishwakarma

引用次数: 3

CISER: Customized Institute Specific Search Engine for Retrieving Research Papers CISER:用于检索研究论文的定制研究所特定搜索引擎

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068620

Shalaka Sankar, Hamna Muslihuddeen, Shreya Ostwal, Pallapothula Sathvika, Anand Kumar Madasamy

引用次数: 0

Leveraging YOLOv7 for Plant Disease Detection 利用YOLOv7进行植物病害检测

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068590

S. Vaidya, Sameer Kavthekar, Amit D. Joshi

{"title":"Leveraging YOLOv7 for Plant Disease Detection","authors":"S. Vaidya, Sameer Kavthekar, Amit D. Joshi","doi":"10.1109/ICITIIT57246.2023.10068590","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068590","url":null,"abstract":"The agricultural sector contributes to 18.8% of India's Gross Domestic Product (GDP). With the increase in extreme climatic changes and constant deterioration of the quality of yield in the agricultural sector, detecting and treating plant diseases in their early stages is the need of the hour. At present, plant diseases are identified manually by examining them, which increases the time and decreases the efficiency and quality of the yield. This work focuses on providing a feasible solution to the problem of Plant Disease Detection. This work aims to develop a digital solution to this problem by training the fastest single-stage object detection model, YOLOv7, on the labeled PlantDoc Dataset. Since the PlantDoc dataset is small in size, data augmentation is performed. YOLOv7 achieves a significantly higher mean average precision of 71%. The size of the model is 75.1 MB, and the average time taken to detect an irregularity in an image is 6.8 ms. On account of the small size of the model and fast inference time, this model can be used for edge computing on devices such as satellites and drones to increase the yield produced.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Truncated SVD Framework for Online Hate Speech Detection on the ETHOS Dataset 基于ETHOS数据集的在线仇恨语音检测截断SVD框架

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068574

A. Chhabra, D. Vishwakarma

引用次数: 0

A study of the effectiveness of the Profile Closeness Attack on the Sicilian Mafia Network 西西里黑手党网络侧位接近攻击的有效性研究

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068719

Divya P B, T. Johnson, Kannan Balakrishnan

引用次数: 0

Herbs Ailment Diagnosis using AI Techniques for Sustainable Innovation in Agriculture 利用人工智能技术进行草药疾病诊断，促进农业可持续创新

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068575

Satishkumar D, Joshua Daniel Raj J, Anoopkumar H S, Chethan D R, Deekshith More B, Kushal A Y

{"title":"Herbs Ailment Diagnosis using AI Techniques for Sustainable Innovation in Agriculture","authors":"Satishkumar D, Joshua Daniel Raj J, Anoopkumar H S, Chethan D R, Deekshith More B, Kushal A Y","doi":"10.1109/ICITIIT57246.2023.10068575","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068575","url":null,"abstract":"The agricultural products quality is the influential of economy of any country, especially India contributes 20 to 25% of country's GDP from the agricultural sector. Hence the developing of healthy plants leads to good economic growth of the country and less global food problem. If plants are growing in unhealthy condition and it is effected by disease directly decrease in the country's GDP, to prevent this disease by the existing methods is time consuming and not as per the capital of the farmers.so we can make use of image processing and deep learning to discover acquired infections to the plants early stages. Herbs can be visually seen hence it is convenient to apply image processing technique to identify the disease. Herbs were main origin of food on earth. If the plants are periodically effected by infections and disease becomes a big threat. The diagnosis is given to the plants based on the symptoms visually seen. Nowadays negligible preference towards the traditional methods and the technology is grown, switched towards the deep learning process to detect disease and deep learning is the drastic growing technology in image classification problems.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117093636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recognition of Characters using PCE based Convolutional LSTM Networks from Palaeographic Writings 基于PCE卷积LSTM网络的古文字识别

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068679

S. Ezhilarasi, P. Umamaheswari, S. Raghavi

{"title":"Recognition of Characters using PCE based Convolutional LSTM Networks from Palaeographic Writings","authors":"S. Ezhilarasi, P. Umamaheswari, S. Raghavi","doi":"10.1109/ICITIIT57246.2023.10068679","DOIUrl":"https://doi.org/10.1109/ICITIIT57246.2023.10068679","url":null,"abstract":"The historic paleographic writings that contributes to cultural heritage of India were inscribed on various materials such as stone inscriptions, rock carving, palm manuscripts, pots, coins, copper plates etc. Archaeological departments throughout the world have undertaken massive digitization projects to digitize the historical contents. But it is highly complicated as it involves images with complex backgrounds, noises and various illumination conditions. The paleographic writings are camera captured and processed for recognition of characters. A character recognition system is an inevitable tool to offer global visibility to the paleographic writings. Automatic character recognition is a challenging problem as in the proposed work it needs a cautious blend of image enhancement, patch extraction, feature extraction, classification and recognition techniques. This involves extracting the sequence of image patches and feature vector of the patches using Convolutional Neural Network and feeding the feature vectors using attention mechanism to recognize the character with LSTM model. As paleographic writings have lengthy sequence of characters which requires special attention during character recognition. The proposed work is an attempt to identify and recognize the historical Tamil paleographic writings by extracting the sequence of patches from the image and feeding them into a CNN-LSTM framework. The proposed method mainly consists of pre-processing, feature extraction, and character-level recognition. The LSTM network is built and the sequence of feature vectors is fed to the network and trained. The sequence of characters is recognized. The performance of the proposed method recorded an character recognition accuracy of 97.9%.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127997630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Muzzle Based Identification of Cattle Using KAZE 基于枪口的牛的KAZE识别

2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) Pub Date : 2023-02-11 DOI: 10.1109/ICITIIT57246.2023.10068662

Kollabathula Kaushik, Duvvuru Jaswanth Reddy, Rahul Raman

引用次数: 0