Vol 4 Issue 1最新文献

Detection of Coronary Artery Using Novel Optimized Grid Search-based MLP 基于优化网格搜索的新型MLP检测冠状动脉

Vol 4 Issue 1 Pub Date : 2022-03-16 DOI: 10.33411/ijist/2022040121

Iftikhar Hussain, Huma Qayyum, Raja Rizwan Javed, Farman Hassan, Auliya Ur Rahman

{"title":"Detection of Coronary Artery Using Novel Optimized Grid Search-based MLP","authors":"Iftikhar Hussain, Huma Qayyum, Raja Rizwan Javed, Farman Hassan, Auliya Ur Rahman","doi":"10.33411/ijist/2022040121","DOIUrl":"https://doi.org/10.33411/ijist/2022040121","url":null,"abstract":"In recent years, we have witnessed a rapid rise in the mortality rate of people of every age due to cardiac diseases. The diagnosis of heart disease has become a challenging task in present medical research, and it depends upon the history of patients. Rapid advancements in the field of deep learning. Therefore, it is a need to develop an automated system that assists medical experts in their decision-making process. In this work, we proposed a novel optimized grid search-based multi-layer perceptron method to effectively detect heart disease patients earlier and accurately. We evaluated the performance of our method on a dataset named Public Health dataset for heart diseases. More specifically, our method obtained an accuracy of 95.12%, precision of 95.32%, recall of 95.32%, and F1-score of 95.32%. We made a comparison of our method with existing methods to check superiority and robustness of our system to detect heart disease patients. Experimental results along with comprehensive comparison with other methods illustrate that our technique has superior performance and is robust to detect heart disease patients. From the results, we can conclude that our method is reliable to be used in hospitals for the early detection of heart disease patients.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122378298","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

The Safeguard measures for mitigating the impact of COVID-19 on radiotherapy services in a Cancer Hospital: A resource-constrained approach 缓解COVID-19对肿瘤医院放疗服务影响的保障措施:一种资源有限的方法

Vol 4 Issue 1 Pub Date : 2022-03-09 DOI: 10.33411/ijist/2022040120

Attia Gul, Muhammad Mubashar Hussain, Musab Riaz, Nazia Neelam Shehzadi

{"title":"The Safeguard measures for mitigating the impact of COVID-19 on radiotherapy services in a Cancer Hospital: A resource-constrained approach","authors":"Attia Gul, Muhammad Mubashar Hussain, Musab Riaz, Nazia Neelam Shehzadi","doi":"10.33411/ijist/2022040120","DOIUrl":"https://doi.org/10.33411/ijist/2022040120","url":null,"abstract":"This article suggests the preventive measures for healthcare department (particularly radiotherapy department) to reduce the probability of corona virus transmission with a resource constrained approach without affecting the work flow. COVID-19 has affected the patients as well as staff of radiotherapy department leaving a severe negative impact on the financial resources of INOR cancer hospital, Abbottabad. Multiple preventive measures have been taken to reduce the probability of spreading the coronavirus while pursuing the timely treatment of radiotherapy patients without compromising their oncological outcomes. In this context, a triage center was established to filter out the Covid suspected/confirmed patients to reduce the risk of infection to other patients and staff. Social distancing was ensured by making amendments in patient gathering areas. Also extensive ventilation and disinfection procedures were adopted to clean the surfaces. Following these measures, patient flux did not show any considerable decrease in second, third and fourth wave as compared to first wave when patient flux reduced to about less than 25 %. Preventive measures were also taken for the employees by ensuring them to wear personal protective equipment during office hours. To further reduce the probability of contact, telemedicine was adopted for patients where possible. All employees were made to be fully vaccinated by July 2021 resulting in 100 % reduction in new cases among INOR employees in the following fourth COVID wave. Owing to these stringent measures taken to fight against coronavirus, ratio of contracting the coronavirus among the employees and patients of INOR has been found <10% overall in this pandemic, While no mortality has been reported so far.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445370","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

MODIS-observed spatiotemporal changes in surface albedo of Karakoram glaciers during 2000-2018 modis观测的2000-2018年喀喇昆仑冰川地表反照率时空变化

Vol 4 Issue 1 Pub Date : 2022-03-09 DOI: 10.33411/ijist/2022040119

Zaeem Hassan Akhter, C. Ke, Irfan Ahmed Soomro, Asma Amir

{"title":"MODIS-observed spatiotemporal changes in surface albedo of Karakoram glaciers during 2000-2018","authors":"Zaeem Hassan Akhter, C. Ke, Irfan Ahmed Soomro, Asma Amir","doi":"10.33411/ijist/2022040119","DOIUrl":"https://doi.org/10.33411/ijist/2022040119","url":null,"abstract":"The role of albedo is very important in modulating the surface energy balance of glaciers. The main objective of this study is to assess the spatiotemporal variability in surface albedo of the Karakoram glaciers in Pakistan during the summer seasons (June, July and August) for the period from 2000-2018. We used Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate the amount of glacier surface albedo. We combined the MODIS Terra- and Aqua-derived albedo products to reduce the amount of cloud influence and to improve the estimation of glacier surface albedo. Our results indicate that the average annual decrease in albedo is ~0.041% during the summer. The decrease in albedo was relatively high during recent years, with an annual rate of decrease of ~0.45%. The decreasing trend in albedo is towards the north-western part of the Karakoram mountain range. Climate change is the potential cause of albedo variations in the study area. Albedo has a strong negative correlation with temperature (r = -0.811) and a strong positive correlation with precipitation (r = 0.809). The present study concludes that trend in decreasing albedo is higher during the recent years than the last decade and climate change is playing a vital role in it.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130953912","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

Impact of Land-use Change on Agricultural Production & Accuracy Assessment through Confusion Matrix 土地利用变化对农业生产的影响&基于混淆矩阵的准确性评估

Vol 4 Issue 1 Pub Date : 2022-03-03 DOI: 10.33411/ijist/2022040118

Muhammad Jawad Sajid, M. Mohsin, Tabasam Jamal, M. Mobeen, Abdur Rehman, Anum Rafique

{"title":"Impact of Land-use Change on Agricultural Production & Accuracy Assessment through Confusion Matrix","authors":"Muhammad Jawad Sajid, M. Mohsin, Tabasam Jamal, M. Mobeen, Abdur Rehman, Anum Rafique","doi":"10.33411/ijist/2022040118","DOIUrl":"https://doi.org/10.33411/ijist/2022040118","url":null,"abstract":"Land modification and its allied resources have progressively become a severe problem presently pulling the worldwide attention and now it rests at the central point of the conservation of the environment and sustainability. The present research aimed to examine the land-use changes and their impact on agricultural production using remote sensing and GIS techniques over the study area that comprised of Tehsil Shorkot, District Jhang, Punjab, Pakistan. Images were pre-processed by using the Arc GIS and ERDAS Imagine 15 software for stacking of the layers, sub-setting, and mosaicking of the satellite bands. After the pre-processing of the images, supervised image classification scheme was applied by employing a maximum likelihood algorithm to recognize the land-use changes which have been observed in the area under study. The area under water was occupied 9.6 km2 in 2010 that increased to 21.04 km2 in 2015 and decreased to 19.4 km2in 2020. Built-up land was 16.6 km2 in 2010 that increased to 19.4 km2 in 2015 and 26.8 km2 in 2020. The total area under vegetation was computed as 513.2 km2 in 2010 that increased to 601.6km2 in 2015 and further increased to 717.7 km2in 2020. Forest land use showed decreasing trend as the covered area in 2010 was occupied 90.8 km2 that decreased to 86.7 km2 in 2015 and further decreased to 61.84 km2 in 2020. In 2010, barren land use was occupied 528.54 km2 that considerably decreased to 429.64 km2 in 2015 further decreased to 333.1 km2 in 2020. Barren land drastically decreased into watered, built-up, and vegetation land uses. The findings of this study will be helpful for the future conservation of various land-use types, urban and regional planning, and an increase in agricultural production of various crops in the study area.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131014272","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: 2

Melanoma Detection Using a Deep Learning Approach 使用深度学习方法检测黑色素瘤

Vol 4 Issue 1 Pub Date : 2022-03-01 DOI: 10.33411/ijist/2022040117

S. Manzoor, Huma Qayyum, Farman Hassan, Asad Ullah, Ali Nawaz, Auliya Ur Rahman

引用次数: 3

Health Consultant Bot: Primary Health Care Monitoring Chatbot for Disease Prediction 健康顾问机器人:疾病预测初级卫生保健监测聊天机器人

Vol 4 Issue 1 Pub Date : 2022-02-28 DOI: 10.33411/ijist/2022040115

Asad ur Rehman, Madiha Liaqat, Ali Javeed, Farman Hassan

引用次数: 3

Comparative Analysis of Machine Learning Algorithms for Classification of Environmental Sounds and Fall Detection 环境声音分类与跌倒检测的机器学习算法比较分析

Vol 4 Issue 1 Pub Date : 2022-02-28 DOI: 10.33411/ijist/2022040112

Farman Hassan, Muhammad Hamza Mehmood, Babar Younis, Nasir Mehmood, Talha Imran, Usama Zafar

{"title":"Comparative Analysis of Machine Learning Algorithms for Classification of Environmental Sounds and Fall Detection","authors":"Farman Hassan, Muhammad Hamza Mehmood, Babar Younis, Nasir Mehmood, Talha Imran, Usama Zafar","doi":"10.33411/ijist/2022040112","DOIUrl":"https://doi.org/10.33411/ijist/2022040112","url":null,"abstract":"In recent years, number of elderly people in population has been increased because of the rapid advancements in the medical field, which make it necessary to take care of old people. Accidental fall incidents are life-threatening and can lead to the death of a person if first aid is not given to the injured person. Immediate response and medical assistance are necessary in case of accidental fall incidents to elderly people. The research community explored various fall detection systems to early detect fall incidents, however, still there exist numerous limitations of the systems such as using expensive sensors, wearable sensors that are hard to wear all the time, camera violates the privacy of person, and computational complexity. In order to address the above-mentioned limitations of the existing systems, we proposed a novel set of integrated features that consist of melcepstral coefficients, gammatone cepstral coefficients, and spectral skewness. We employed a decision tree for the classification performance of both binary problems and multi-class problems. We obtained an accuracy of 91.39%, precision of 96.19%, recall of 91.81%, and F1-score of 93.95%. Moreover, we compared our method with existing state-of-the-art methods and the results of our method are higher than other methods. Experimental results demonstrate that our method is reliable for use in medical centers, nursing houses, old houses, and health care provisions.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123155607","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: 2

Comparison of Machine Learning Algorithms for Sepsis Detection 脓毒症检测的机器学习算法比较

Vol 4 Issue 1 Pub Date : 2022-02-28 DOI: 10.33411/ijist/2022040113

Asad Ullah, Huma Qayyum, Farman Hassan, Muhammad Khateeb Khan, Auliya Rahman

{"title":"Comparison of Machine Learning Algorithms for Sepsis Detection","authors":"Asad Ullah, Huma Qayyum, Farman Hassan, Muhammad Khateeb Khan, Auliya Rahman","doi":"10.33411/ijist/2022040113","DOIUrl":"https://doi.org/10.33411/ijist/2022040113","url":null,"abstract":"Sepsis is a very fatal disease, causing a lot of causalities all over the world, about 2, 70,000 die of Sepsis annually, thus early detection of Sepsis disease would be a remedy to prevent this disease and it would be a big relief to the family of sepsis patients. Different researchers have worked on sepsis disease detection and its prediction but still the need to have an improved model for Sepsis detection remains. We compared various machine learning algorithms for Sepsis detection and used the dataset publicly available for all the researchers at Physionet.org, the dataset contains many empty or Null values, we applied backward filling and forward filling techniques, and we calculated missing values of MAP using equation (1) which gives more precise results, we divided the 40,336 files of datasets A and B into 80% training set and 20% testing set. We applied the algorithms twice one time using vital signs and clinical values of patients and the second time using only vital signs of the patients; using vital signs only the training accuracy of KNN, Logistic Regression, Random Forest, MLP, and Decision Trees was 0.992, 0.999, 0.981, 0.981, and 0.981 respectively, while the testing accuracy of KNN, Logistic Regression, Random Forest, MLP, and Decision Trees was 0.987, 0.980, 0.983, 0.981, and 0.981 respectively, for Sepsis Label 0, the value of precision for KNN, Random Forest, Decision Trees, Logistic Regression, and MLP was 0.99, 0.98, 0.98, 0.98, and 0.98 respectively, while the value of recall for KNN, Random Forest, Decision Trees, Logistic Regression, and MLP was 1.00, 1.00, 1.00, 1.00, and 1.00 respectively; the comparison of all the above-mentioned algorithms showed that KNN leads over all the competitors regarding the accuracy, precision, and recall.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"85 7-8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120889649","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

Integration of Probability Based Ridge Variation Information with Local Ridge Orientation for Fingerprint Liveness Detection 基于概率脊变化信息与局部脊方向的指纹动态检测集成

Vol 4 Issue 1 Pub Date : 2022-02-27 DOI: 10.33411/ijist/2022040114

Sania Saeed, H. Dawood, Rubab Mehboob, H. Dawood

{"title":"Integration of Probability Based Ridge Variation Information with Local Ridge Orientation for Fingerprint Liveness Detection","authors":"Sania Saeed, H. Dawood, Rubab Mehboob, H. Dawood","doi":"10.33411/ijist/2022040114","DOIUrl":"https://doi.org/10.33411/ijist/2022040114","url":null,"abstract":"Fingerprints are commonly used in biometric systems. However, the authentication of these systems became an open challenge because fingerprints can easily be fabricated. In this paper, a hybrid feature extraction approach named Integration of Probability Weighted Spatial Gradient with Ridge Orientation (IPWSGRo) has been proposed for fingerprint liveness detection. IPWSGRo integrates intensity variation and local ridge orientation information. Intensity variation is computed by using probability-weighted moments (PWM) and second order directional derivative filter. Moreover, the ridge orientation is estimated using rotation invariant Local Phase Quantization (LPQri) by retaining only the significant frequency components. These two feature vectors are quantized into predefined intervals to plot a 2-D histogram. The support vector machine classifier (SVM) is then used to determine the validity of fingerprints as either live or spoof. Results are obtained by applying the proposed technique on three standard databases of LivDet competition 2011, 2013, and 2015. Experimental results indicate that the proposed method is able to reduce the average classification error rates (ACER) to 5.7, 2.1, and 5.17% on LivDet2011, 2013, and 2015, respectively.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123640045","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

Natural Language to SQL Queries: A Review 自然语言到SQL查询:综述

Vol 4 Issue 1 Pub Date : 2022-02-22 DOI: 10.33411/ijist/2022040111

Mirza Shahzaib Baig, Azhar Imran, Amanullah Yasin, Abdul Haleem Butt, Muhammad Imran Khan

{"title":"Natural Language to SQL Queries: A Review","authors":"Mirza Shahzaib Baig, Azhar Imran, Amanullah Yasin, Abdul Haleem Butt, Muhammad Imran Khan","doi":"10.33411/ijist/2022040111","DOIUrl":"https://doi.org/10.33411/ijist/2022040111","url":null,"abstract":"The relational database is the way of maintaining, storing, and accessing structured data but in order to access the data in that database the queries need to be translated in the format of SQL queries. Using natural language rather than SQL has introduced the advancement of a new kind of handling strategy called Natural Language Interface to Database frameworks (NLIDB). NLIDB is a stage towards the turn of events of clever data set frameworks (IDBS) to upgrade the clients in performing adaptable questioning in data sets. A model that can deduce relational database queries from natural language. Advanced neural algorithms synthesize the end-to-end SQL to text relation which results in the accuracy of 80% on the publicly available datasets. In this paper, we reviewed the existing framework and compared them based on the aggregation classifier, select column pointer, and the clause pointer. Furthermore, we discussed the role of semantic parsing and neural algorithm’s contribution in predicting the aggregation, column pointer, and clause pointer. In particular, people with limited background knowledge are unable to access databases with ease. Using natural language interfaces for relational databases is the solution to make natural language to SQL queries. This paper presents a review of the existing framework to process natural language to SQL queries and we will also cover some of the speech to SQL model in discussion section, in order to understand their framework and to highlight the limitations in the existing models.","PeriodicalId":243222,"journal":{"name":"Vol 4 Issue 1","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125446403","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: 2