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Iranian Journal of Botany最新文献

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De la ruse à la schizophrénie : la réécriture du Chat botté dans les fictions pour adultes 从诡计到精神分裂症:在成人小说中改写被踢的猫
Iranian Journal of Botany Pub Date : 2022-02-12 DOI: 10.58282/colloques.7700
N. Langbour
{"title":"De la ruse à la schizophrénie : la réécriture du Chat botté dans les fictions pour adultes","authors":"N. Langbour","doi":"10.58282/colloques.7700","DOIUrl":"https://doi.org/10.58282/colloques.7700","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89302790","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
Quand le chat devient singe dans les contes arabo-berbères : un rapport filial à l’animal 在阿拉伯柏柏尔人的故事中，当猫变成猴子时:与动物的孝顺关系
Iranian Journal of Botany Pub Date : 2022-02-12 DOI: 10.58282/colloques.7695
Bochra Charnay
{"title":"Quand le chat devient singe dans les contes arabo-berbères : un rapport filial à l’animal","authors":"Bochra Charnay","doi":"10.58282/colloques.7695","DOIUrl":"https://doi.org/10.58282/colloques.7695","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79399857","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
Editorial: Research In Engineering 社论:工程研究
Iranian Journal of Botany Pub Date : 2021-09-21 DOI: 10.33897/FUJEAS.V2I1.463
M. Shaheen
{"title":"Editorial: Research In Engineering","authors":"M. Shaheen","doi":"10.33897/FUJEAS.V2I1.463","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.463","url":null,"abstract":"","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86697295","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
A Novel Software Layer to Program Arduino over the Air using Bluetooth 一种使用蓝牙对Arduino进行无线编程的新型软件层
Iranian Journal of Botany Pub Date : 2021-09-20 DOI: 10.33897/FUJEAS.V2I1.458
Abdur Rehman
{"title":"A Novel Software Layer to Program Arduino over the Air using Bluetooth","authors":"Abdur Rehman","doi":"10.33897/FUJEAS.V2I1.458","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.458","url":null,"abstract":"Programming over the air (POTA) is commonly used to update the firmware and configuration of a wireless sensor node without any physical contact with the node.We used this concept here to program the Arduino pro mini wirelessly over the Bluetooth link using HC-05 module.Bluetooth module only support UART traffic to communicate with slave devices. To implement POTA, a software layer is written for HC-05 module, this software layer makes HC-05 able to program Arduino pro mini over serial communication. The written software transfer data over the Bluetooth link to the slave hardware and then Arduino pro mini is programmed.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81183903","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
Kobe Braynt Shot Prediction using Machine Learning 科比·布莱恩特投篮预测使用机器学习
Iranian Journal of Botany Pub Date : 2021-09-20 DOI: 10.33897/FUJEAS.V2I1.420
Taimur Shahzad
{"title":"Kobe Braynt Shot Prediction using Machine Learning","authors":"Taimur Shahzad","doi":"10.33897/FUJEAS.V2I1.420","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.420","url":null,"abstract":"Kobe Bryant was one of the best players of Basketball. Data regarding his 20 years played games is available on the Kaggle. We transform the categorical features by PCA and normalize the data by minmax normalization technique. Machine learning techniques such as logistic regression, Random Forest, Linear Discriminant Analysis, Naïve bayes, Gradient Boosting, Adaboost and Neural Network are applied on pre-processed data to classify whether he made shot or not.  The prediction accuracy of LR, RF, LDA, NB, GB, ABC and ANN is 67.84%,64.22%,67.82%,0.61%,67.8%,68% and 67% respectively on hold an out method.  The experimental results shows that Adaboost has highest prediction accuracy as compared to others method with 5 cross validations. Finally, we have got satisfactory results as compared to our benchmark (Kaggle).","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76583035","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
Artificial Intelligence Potential Trends in Military 人工智能在军事领域的潜在趋势
Iranian Journal of Botany Pub Date : 2021-09-20 DOI: 10.33897/FUJEAS.V2I1.380
Atif Ali
{"title":"Artificial Intelligence Potential Trends in Military","authors":"Atif Ali","doi":"10.33897/FUJEAS.V2I1.380","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.380","url":null,"abstract":"Artificial intelligence (AI) is trending in the military and safety-critical application sectors. Currently, the private sector is helping the government sector to implement new advanced techniques to bring a revolution for different government and public sector management. It also helps to provide sustainable accountability in the accounting field; at present, AI is bringing a revolution in concept building. It is bringing potential revolutions by using novel approaches in such directions. This paper is a novel approach in the same direction; our research aim of this paper is to emphasize the AI in the militaries, what are the latest trend and usages recently worldwide used for AI applications in militaries. In this paper, we not only discuss the usage of AI applications in the military but also in the civil defense and health industry. We review and discuss that AI has potential benefits in military applications, HRMS, decision making, disaster prevention and response, GIS, service personalization, interoperability, extensive data analysis, anomaly and pattern recognition, intrusion detection, and new solution discovery using the highly configurable system and real-time simulation.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89980562","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: 4
Comparison of multiple deep models on semantic segmentation for breast tumor detection 乳腺肿瘤检测中多种深度语义分割模型的比较
Iranian Journal of Botany Pub Date : 2021-09-20 DOI: 10.33897/FUJEAS.V2I1.424
Sajidullah S. Khan, M. Sharif, M. I. Niass, Mehtab Afzal, Muhammad Shoaib
{"title":"Comparison of multiple deep models on semantic segmentation for breast tumor detection","authors":"Sajidullah S. Khan, M. Sharif, M. I. Niass, Mehtab Afzal, Muhammad Shoaib","doi":"10.33897/FUJEAS.V2I1.424","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.424","url":null,"abstract":"The early diagnosis of breast tumor detection is the most significant research issue in mammography. Computer-aided diagnosis (CAD) is one of the highly essential methods to prevent breast cancer. This research work explored the effectiveness of deep-based pixel-wise segmentation models for low energy X-rays (mammographic imagery) to detect tumors in the breast region. For this purpose, various semantic segmentation models were incorporated into the experimental procedure. All the models were analyzed using the medical images dataset, which was gathered and annotated from one of the largest teaching hospitals in the Khyber Pakhtunkhwa province, known as Lady reading hospital. It is coordinated in cooperation with local health specialists, radiologists, and technologists. The comparative analysis of the incorporated segmentation techniques' performance was observed, selecting the most appropriate model for detecting tumors and normal breast regions. The experimental evaluation of the proposed models performs efficient detection of tumor and non-tumor areas in breast mammograms using traditional evaluation metrics such as mean IoU and Pixel accuracy. The performance of the semantic segmentation techniques was evaluated on two datasets (Cityscapes and mammogram). Dilation 10 (global) performed the best among the four semantic segmentation models by achieving a higher pixel accuracy of 93.69%. It reflects the effectiveness of the pixel-wise segmentation techniques by outperforming other state-of-the-art automatic image segmentation models.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91359420","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
Statistical Analysis of Cricket Leagues Using Principal Component Analysis 用主成分分析法对板球联赛进行统计分析
Iranian Journal of Botany Pub Date : 2021-09-20 DOI: 10.33897/FUJEAS.V2I1.451
Sheharyar Khan
{"title":"Statistical Analysis of Cricket Leagues Using Principal Component Analysis","authors":"Sheharyar Khan","doi":"10.33897/FUJEAS.V2I1.451","DOIUrl":"https://doi.org/10.33897/FUJEAS.V2I1.451","url":null,"abstract":"Any sport has statistics and cricket is one of the sports where statistics are significantly important because, on the based on these statistics, players are ranked. These statistics include individual runs, wickets, and highest scores, etc. Based on statistics, players are selected for any tournament around the world. This research uses Principal Component Analysis by evaluating cricket facts and figures. This analysis tests the precise co-variation among different measurements relating to the batting and bowling abilities of players in the Pakistan Super League PSL T-20 (2016-2019) and IPL T-20 (2016-2019) utilizing the progressed factual system Principal Component Analysis. In the current investigation, PCA was utilized to rank the top ten best-performing batsmen and bowlers of the PSL and IPL. Principal Component Analysis is a dimension reduction technique that is used to reduce dataset dimensions into smaller variables. We can presume that batting ability rules over bowling capacity. This exploration is the first report in Pakistan that features the highlights of the PSL and IPL.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79669735","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
Security in the internet of Things: a systematic Mapping Study 物联网中的安全:系统的映射研究
Iranian Journal of Botany Pub Date : 2021-03-24 DOI: 10.33897/FUJEAS.V1I2.297
Naveed Akhtar
{"title":"Security in the internet of Things: a systematic Mapping Study","authors":"Naveed Akhtar","doi":"10.33897/FUJEAS.V1I2.297","DOIUrl":"https://doi.org/10.33897/FUJEAS.V1I2.297","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000The extend of clever gadgets has accelerated touchy statistics trade on the Internet the usage of most of the time unsecured channels. Since a large use of RFID (Radio-frequency Identification) tags in the transportation and development industries from 1980 to 1990, with the multiplied use of the Internet with 2G/3G or 4G when you consider that 2000, we are witnessing a new generation of related objects. A massive wide variety of heterogeneous sensors may also accumulate and dispatch touchy facts from an endpoint to a global community on the Internet. Privacy worries in Iot stay essential problems in the research. This paper aims to understand and additionally grant continuing doe’s research topic, challenge, and Future Direction related to Iot security. A systematic mapping finds out about (SMS) is thus utilized on the way to organize the chosen Articles into the following classification: contribution type, Type of Research, Iot Security, and their approach. We take out an overall of twenty-four Articles in support of this systematic discover out about also they categorize the following described criterion. The findings of this SMS are mentioned and the researcher was once given hints on the possible route for future research. \u0000 \u0000 \u0000 \u0000","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87816768","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
MFCC and Machine Learning Based Speech Emotion Recognition Over TESS and IEMOCAP Datasets 基于TESS和IEMOCAP数据集的MFCC和机器学习的语音情感识别
Iranian Journal of Botany Pub Date : 2021-03-24 DOI: 10.33897/FUJEAS.V1I2.321
Muhammad Zafar Iqbal
{"title":"MFCC and Machine Learning Based Speech Emotion Recognition Over TESS and IEMOCAP Datasets","authors":"Muhammad Zafar Iqbal","doi":"10.33897/FUJEAS.V1I2.321","DOIUrl":"https://doi.org/10.33897/FUJEAS.V1I2.321","url":null,"abstract":"Our proposed methodology involving MFCC computation along with support Vector machine is used to perform the task of Speech Emotion Recognition (SER) of collectively five emotions named Angry, Happy, Neutral, Pleasant Surprise and Sadness. Two databases are used for this purpose: Toronto Emotion Speech Set (TESS) and Interactive Emotional Dyadic Motion Capture (IEMOCAP). We achieved 97% accuracy with TESS and 86% accuracy with IEMOCAP respectively.","PeriodicalId":36255,"journal":{"name":"Iranian Journal of Botany","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89341925","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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