BSSS Journal of Computer最新文献

FUTURISTIC HEADBAND: MIND READING CONCEPT USING AI 未来主义发带:使用人工智能的读心术概念

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1402

Sachi Bhardwaj, Sushma Vishwakarma, Swati Sharma

引用次数: 0

IMPLICATIONS OF SPEECH RECOGNITION THROUGH NLP: AN OVERVIEW 通过nlp进行语音识别的意义:综述

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1408

Geetanjli Khambra

{"title":"IMPLICATIONS OF SPEECH RECOGNITION THROUGH NLP: AN OVERVIEW","authors":"Geetanjli Khambra","doi":"10.51767/jc1408","DOIUrl":"https://doi.org/10.51767/jc1408","url":null,"abstract":"In the current state of digitalization researchers have found a leading-edge technology that delivers information to users from the digital machine and vice-versa and i.e. Natural Language Processing (NLP), one of an AI branch that made a difference. NLP is a computational representation and analysis of human language, which globally aims to facilitate naturally occurring interaction between computers and individuals whether phonically, calligraphically or textual. NLP has various booming sides in advanced world and has expands its applications in different domains. One of its application Speech recognition is a large field of research for modern-day researchers. Speech recognition, also known as automatic speech recognition (ASR) or speech-to-text, is capable of handling human speech in a written format. The main focus is on development of recognition system which enhances human-to-human communication by permitting man-machine communication through the processing of texts or speeches. It is a technology that makes it possible for people to communicate with devices. Several applications of voice recognition systems are in place and all understand diverse scrutiny challenges.This paper captures the necessity of how speech recognition actually functions, types of model, resolving challenges of ASR. Deep study on functioning of Alexa and Siri.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125825596","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

PERCEPTION OF HUMAN EXPRESSION, AGE AND GENDER RELATED VARIATIONS OF EMOTIONRECOGNITION BASED ON LIVE CAMERA IMAGES IN DEEP LEARNING USING PYTHON 基于python的深度学习实时摄像机图像的人类表情感知、年龄和性别相关的情绪识别变化

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1401

引用次数: 0

ACCIDENT DETECTION & ALERT MESSAGING –ANDROID APP 事故检测和警报消息-android应用程序

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1411

Aswani Mohanan, Lakshmipriya R Parvathy Babu, Dr. Sanaj M S

{"title":"ACCIDENT DETECTION & ALERT MESSAGING –ANDROID APP","authors":"Aswani Mohanan, Lakshmipriya R Parvathy Babu, Dr. Sanaj M S","doi":"10.51767/jc1411","DOIUrl":"https://doi.org/10.51767/jc1411","url":null,"abstract":"Accidents are the main cause of fatalities. These can occasionally lead to patients staying in the hospital for an extended period of time. Because of the witnesses` late arrival at the scene of the accident, the victim frequently dies. In this project, a real-time Police and ambulance drivers will be informed and given an alert system as a remedy to this issue. In order to detect falls, mobile phones are employed as readily available technical instruments. For fall detection, an Android smart phone with an embedded accelerometer is employed. The phone`s vibration frequency will be evaluated by the accelerometer in order to determine the frequency of the fall. Various factors, including vibration frequency and height, are taken into account while evaluating the threshold. A pop-up notice is displayed for the user`s input if it exceeds the predetermined threshold. The next step is decided upon by the user`s response. If users don`t answer within a given time frame, an alarm and notification will be promptly sent to the necessary pre-specified people, whose contacts the user gave while enrolling for the programme. Drivers of the police car and am balance are also provided an alert and notice, or SMS, with the location of the victim`s accident. The technology described in this research uses an intuitive, straightforward Android app to detect fall at a low cost.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114570773","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

PICK AND DELIVERY SYSTEM USING ANDROID MOBILE APPLICATION 取货系统采用android手机应用程序

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1410

Rahul Sharma, Rahul Anjana, Sunny Thakare

引用次数: 0

IMPROVING CLASSIFICATION PERFORMANCE USING ENSEMBLE LEARNING APPROACH 使用集成学习方法提高分类性能

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1409

Jyotsana Goyal

{"title":"IMPROVING CLASSIFICATION PERFORMANCE USING ENSEMBLE LEARNING APPROACH","authors":"Jyotsana Goyal","doi":"10.51767/jc1409","DOIUrl":"https://doi.org/10.51767/jc1409","url":null,"abstract":"The data mining techniques are used for evaluation of the data in order to find and represent the data in such manner by which the applications are becomes beneficial. Therefore, different kinds of computational algorithms and modeling’s are incorporated for analyzing the data. These computational algorithms are help to understand the data patterns and their application utility. The data mining algorithms supports supervised as well as unsupervised techniques of data analysis. This work is aimed to investigate about the supervised learning technique specifically performance improvements on classification techniques. The proposed classification model includes the multiple classifiers namely Bayesian classifier, k-nearest neighbor and the c4.5 decision tree algorithm. By nature of the outcomes and the modeling of the data these algorithms are functioning differently from each other. Thus, a weight based classification technique is introduced in this work. The weight is a combination of outcomes provided by the implemented three classifiers in terms of their predicted class labels. Using the weighted outcomes, the final class label for the input data instance is decided. The implementation of the proposed working model is performed with the help of JAVA and WEKA classes. The results obtained by experimentation of the proposed approach with the vehicle data set demonstrate the high accurate classification results. Thus, the proposed model is an effective classification technique as compared to single model implementation for classification task.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"337 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116361443","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

TRADITIONAL AND RECENT TECHNIQUES OF EFFORT ESTIMATION IN SOFTWARE ENGINEERING 软件工程中工作量估算的传统和最新技术

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1403

Dr Manisha Singh, Dr Rekha Tripathi

引用次数: 0

UNDERSTANDING THE DISEASES THROUGH COMPUTERS: FUTURE OF ARTIFICIAL INTELLIGENCE 通过计算机了解疾病:人工智能的未来

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1404

Dr. Manoj Patidar

{"title":"UNDERSTANDING THE DISEASES THROUGH COMPUTERS: FUTURE OF ARTIFICIAL INTELLIGENCE","authors":"Dr. Manoj Patidar","doi":"10.51767/jc1404","DOIUrl":"https://doi.org/10.51767/jc1404","url":null,"abstract":"UNDERSTANDING THE DISEASES THROUGH COMPUTERS: FUTURE OF ARTIFICIAL INTELLIGENCE: Jun 2023 : XIV [I] Dr. Manoj Patidar DOI Link : UNDERSTANDING THE DISEASES THROUGH COMPUTERS: FUTURE OF ARTIFICIAL INTELLIGENC by Dr. Manoj Patidar is licensed under CC BY-NC-SA 4.0 A crucial stage in the discovery and development of new drugs is understanding the pathophysiology of the disease and how it will develop in the future. Even while many R&D projects are aimed at improving human health, there are still significant gaps in our knowledge. For instance, infectious diseases, like COVID-19, might quickly spread throughout the world and become pandemics. It is crucial to have some methods that can swiftly anticipate the development of diseases, the likelihood that they will become epidemics, and the identification of possible therapeutic targets. This problem can be solved by artificial intelligence, which could lighten the load on the scientific community. The development of new drugs and early diagnostics are the possible benefits of artificial intelligence. The machines may be programmed to look for pathogens, and their mechanism of spreading. This article is an attempt to explore the possibilities of implementing artificial intelligence in health sectors.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185698","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

INTERNET OF THINGS AND SMART COMPUTING “REVOLUTIONIZING HEALTHCARE: THE POWER OF IOT AND SMART COMPUTING 物联网和智能计算:革新医疗保健:物联网和智能计算的力量

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1405

Jyothi Balreddygari

{"title":"INTERNET OF THINGS AND SMART COMPUTING “REVOLUTIONIZING HEALTHCARE: THE POWER OF IOT AND SMART COMPUTING","authors":"Jyothi Balreddygari","doi":"10.51767/jc1405","DOIUrl":"https://doi.org/10.51767/jc1405","url":null,"abstract":"The integration of Internet of Things (IoT) and smart computing is revolutionizing the healthcare industry. IoTdevices, such as wearable devices and smart medical equipment, are collecting and transmitting vast amounts of health data in real-time, which can then be processed and analyzed using advanced computing techniques such as machine learning and artificial intelligence. This has led to the development of more personalized and effective patient care, improved patient outcomes, and reduced healthcare costs. One of the main benefits of IoT and smart computing in healthcare is remote patient monitoring. This allows healthcare providers to monitor patients outside of traditional clinical settings and identify potential health problems early, reducing the risk of hospital readmissions and improving patient outcomes. Additionally, the use of IoT and smart computing is improving disease diagnosis and drug discovery, making the process more efficient and accurate. However, the integration of IoT and smart computing in healthcare also raises concerns about privacy and security. The large amounts of sensitive health data collected and stored byIoT devices are vulnerable to cyberattacks, and there is a need for robust security measures to protect this data. In conclusion, the power of IoT and smart computing is transforming the healthcare industry. They are enabling the development of more personalized and effective patient care, improving patient outcomes, and reducing healthcare costs. However, it is important to address the privacy and security concerns associated with this technology. Further research and development are needed to fully realize the potential of IoT and smart computing in healthcare.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133375941","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

DIFFERENT COMPUTING TECHNOLOGIES AND VIRTUALIZATION 不同的计算技术和虚拟化

BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1407

Simran Kaur Saluja, Tanya Tiwari

引用次数: 0