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Acadlore Transactions on AI and Machine Learning最新文献

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Diagnosis of Chronic Kidney Disease Based on CNN and LSTM 基于CNN和LSTM的慢性肾脏疾病诊断
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-06-06 DOI: 10.56578/ataiml020202
Elif Nur Yildiz, Emine Cengil, M. Yıldırım, Harun Bingol
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引用次数: 1
Hierarchical Aggregate Assessment of Multi-Level Teams Using Competency Ontologies 基于能力本体论的多层次团队层次综合评估
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-06-06 DOI: 10.56578/ataiml020201
A. Gladun, J. Rogushina, Martin Lesage
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引用次数: 0
Floor Segmentation Approach Using FCM and CNN 基于FCM和CNN的地板分割方法
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-03-28 DOI: 10.56578/ataiml020104
Kavya Ravishankar, Puspha Devaraj, Sharath Kumar Yeliyur Hanumathaiah
{"title":"Floor Segmentation Approach Using FCM and CNN","authors":"Kavya Ravishankar, Puspha Devaraj, Sharath Kumar Yeliyur Hanumathaiah","doi":"10.56578/ataiml020104","DOIUrl":"https://doi.org/10.56578/ataiml020104","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131385219","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
Performance Evaluation of ANN Models for Prediction 人工神经网络预测模型的性能评价
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-03-28 DOI: 10.56578/ataiml020102
Mohmmad Khrisat, Z. Alqadi
{"title":"Performance Evaluation of ANN Models for Prediction","authors":"Mohmmad Khrisat, Z. Alqadi","doi":"10.56578/ataiml020102","DOIUrl":"https://doi.org/10.56578/ataiml020102","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180809","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
An End-to-End CNN Approach for Enhancing Underwater Images Using Spatial and Frequency Domain Techniques 使用空间和频域技术增强水下图像的端到端CNN方法
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-03-28 DOI: 10.56578/ataiml020101
Ayah Abo El Rejal, K. Nagaty, A. Pester
{"title":"An End-to-End CNN Approach for Enhancing Underwater Images Using Spatial and Frequency Domain Techniques","authors":"Ayah Abo El Rejal, K. Nagaty, A. Pester","doi":"10.56578/ataiml020101","DOIUrl":"https://doi.org/10.56578/ataiml020101","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122363105","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: 3
Information Acquisition Method of Tomato Plug Seedlings Based on Cycle-Consistent Adversarial Network 基于循环一致对抗网络的番茄插秧信息获取方法
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-03-28 DOI: 10.56578/ataiml020105
Yong Zhang
{"title":"Information Acquisition Method of Tomato Plug Seedlings Based on Cycle-Consistent Adversarial Network","authors":"Yong Zhang","doi":"10.56578/ataiml020105","DOIUrl":"https://doi.org/10.56578/ataiml020105","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126416356","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
Intelligent Diagnosis of Obstetric Diseases Using HGS-AOA Based Extreme Learning Machine 基于HGS-AOA的极限学习机在产科疾病智能诊断中的应用
Acadlore Transactions on AI and Machine Learning Pub Date : 2023-03-28 DOI: 10.56578/ataiml020103
Ramesh Vatambeti, Vijay Kumar Damera
{"title":"Intelligent Diagnosis of Obstetric Diseases Using HGS-AOA Based Extreme Learning Machine","authors":"Ramesh Vatambeti, Vijay Kumar Damera","doi":"10.56578/ataiml020103","DOIUrl":"https://doi.org/10.56578/ataiml020103","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123851544","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
COVID-19 - Outbreak Prediction Using SIR Model COVID-19 -使用SIR模型进行爆发预测
Acadlore Transactions on AI and Machine Learning Pub Date : 2022-12-31 DOI: 10.56578/ataiml010205
Vijay Khare, Rishabh Kaloni
{"title":"COVID-19 - Outbreak Prediction Using SIR Model","authors":"Vijay Khare, Rishabh Kaloni","doi":"10.56578/ataiml010205","DOIUrl":"https://doi.org/10.56578/ataiml010205","url":null,"abstract":"","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124527760","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
Modelling of Depth Prediction Algorithm for Intra Prediction Complexity Reduction 深度预测算法的建模与降低内预测复杂度
Acadlore Transactions on AI and Machine Learning Pub Date : 2022-12-31 DOI: 10.56578/ataiml010202
H. K. Joy, Manjunath R. Kounte
{"title":"Modelling of Depth Prediction Algorithm for Intra Prediction Complexity Reduction","authors":"H. K. Joy, Manjunath R. Kounte","doi":"10.56578/ataiml010202","DOIUrl":"https://doi.org/10.56578/ataiml010202","url":null,"abstract":"Video compression gained its relevance with the boon of the internet, mobile phones, variable resolution acquisition device etc. The redundant information is explored in initial stages of compression that’s is prediction. Inter prediction that is prediction within the frame generates high computational complexity when working with traditional signal processing procedures. The paper proposes the design of a deep convolutional neural network model to perform inter prediction by crossing out the flaws in the traditional method. It briefs the modeling of network, mathematics behind each stage and evaluation of the proposed model with sample dataset. The video frame’s coding tree unit (CTU) of 64x64 is the input, the model converts and store it as a 16-element vector with the goodness of CNN network. It gives an overview of deep depth decision algorithm. The evaluation process shows that the model performs better for compression with less computational complexity.","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128915241","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: 3
Analysis of Artificial Intelligence and Natural Language Processing Significance as Expert Systems Support for E-Health Using Pre-Train Deep Learning Models 利用预训练深度学习模型分析人工智能和自然语言处理作为电子医疗专家系统支持的意义
Acadlore Transactions on AI and Machine Learning Pub Date : 2022-12-31 DOI: 10.56578/ataiml010201
Pascal Muam Mah
{"title":"Analysis of Artificial Intelligence and Natural Language Processing Significance as Expert Systems Support for E-Health Using Pre-Train Deep Learning Models","authors":"Pascal Muam Mah","doi":"10.56578/ataiml010201","DOIUrl":"https://doi.org/10.56578/ataiml010201","url":null,"abstract":"Artificial intelligence (AI) and natural language processing (NLP) are relentless technologies for healthcare that can support a strong and secure digital system with embedded applications of internet of things (IoTs). The study tried to build an artificial intelligence-natural language processing cluster system. In the system, rich content is extracted using parts of speech and then classified into an understandable dataset. The unavailable uniqueness systems with standardize process and procedures for artificial intelligence and natural language processing across different systems to support E-healthcare sector is a big challenge for nations and the world at large. Aim to train a cluster system that extract rich content and fit into a deep learning model frame to enable interpretation of the dataset for healthcare needs through a fast and secure digital system. The study uses (behavior-oriented driven and influential functions) to determine the significance of AI and NLP on E-health. Based on a selective scorings method, a rate of 1 out of 5 grading was developed called the Key Benefits score. The behavior-oriented drive and influential function allows an in-depth evaluation of E-health based on the selection of text content applied to the sample proposed study. Results show a score of 3.947 scale significance of NLP and AI on E-health. The study concluded that well-defined artificial intelligence and natural language processing applications are perfect areas that advance positive results in healthcare electronic services.","PeriodicalId":292575,"journal":{"name":"Acadlore Transactions on AI and Machine Learning","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123058832","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
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