{"title":"For the Sake of Making Molecules.","authors":"Antonio Togni","doi":"10.2533/chimia.2023.468","DOIUrl":"10.2533/chimia.2023.468","url":null,"abstract":"The aim of this article, while reviewing part of my research activities, is to illustrate the somewhat chaotic way leading from one specific topic to another - from e.g. ferrocenyl ligands for asymmetric catalysis, to asymmetric fluorination, to reagents for perfluoroalkylation, just to mention some of the most fruitful ones. That the way meandering through several areas of research in chemical synthesis can be described as chaotic is not primarily due to my inability to plan the work of my research group. In the contrary, it is argued that academic research, viewed as mean to educating and forming young researchers, should resist the temptation towards an increasing projectification, milestone mentality, the myth of societal relevance, and consciously aim for a more anarchical trait, much in the sense of Feyerabend's \"anything goes\".","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"19 1","pages":"468-477"},"PeriodicalIF":1.2,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88864107","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}
{"title":"A hybrid approach of missing data imputation for upper gastrointestinal diagnosis","authors":"Khaled M. Fouad","doi":"10.1504/ijaip.2023.129179","DOIUrl":"https://doi.org/10.1504/ijaip.2023.129179","url":null,"abstract":"Gastrointestinal and liver diseases (GILDs) are the major causes of death and disability in Middle East. The investigation of upper gastrointestinal (GI) symptoms of a medically limited area resource is a challenge. The analysis of real-world clinical data of upper gastrointestinal (GI) using data mining techniques often is facing observations that the data contains missing values. In this paper, the proposed approach to missing data imputation is accomplished for categorical data onto upper GI diseases to apply the feature selection and classification algorithms with accurate and effective results for diagnosing upper GI diseases. This approach is evaluated by implementing experimental framework to apply five phases. These phases aim at partitioning the dataset to eight different datasets; with various ratio of missing data, performing the feature selection, imputing the missing data, classifying the imputed data, and finally, evaluating the outcome using k-fold cross validation for nine evaluation measures.","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135534342","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}
{"title":"Automatic face enhancement technique using sigmoid normalisation based on single scale Retinex algorithm","authors":"A. Baskar, T. Gireesh Kumar","doi":"10.1504/ijaip.2023.133252","DOIUrl":"https://doi.org/10.1504/ijaip.2023.133252","url":null,"abstract":"The identical faces look dissimilar due to the change of illumination and it leads to incorrect results in face detection. In general, The Retinex algorithm improves visual quality by attaining good dynamic range and colour constancy. This work, a single-scale Retinex (SSR) algorithm based on sigmoid normalisation is proposed. The proposed normalisation suppresses the impact of outlier's data and improves the enhancement. The former min-max normalisation leads to loss of information and focused on specific parts of the normalised range. The SSR computes the reflectance values from the input image in different colour space. Followed, the sigmoid normalisation achieves good dynamic range compression through contrast factor (C) from estimated reflectance value. The performance of the proposed algorithm is validated in MUCT and IMM database. The experimental result shows the proposed algorithm attains better enhancement in contrast factor (C) between 40-50 scales under different illumination.","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967515","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}
{"title":"Nature-inspired query optimisation models for medical information retrieval with relevance feedback","authors":"Aditya Jayasimha, Rahul Mudambi, S. Sowmya Kamath","doi":"10.1504/ijaip.2023.133255","DOIUrl":"https://doi.org/10.1504/ijaip.2023.133255","url":null,"abstract":"Medical information retrieval (MedIR) involves retrieving relevant medical-related information from a set of medical documents for a particular user query. As the volume of medical records grows, the challenging problem is determining those documents which best suiting a given query by considering user satisfaction. Statistical term weighting and probabilistic approaches for this purpose have several limitations. The gap between information need and user query can be addressed through query optimisation and relevance feedback. In this paper, we propose a document retrieval framework that incorporates query optimisation using techniques like genetic algorithm, particle swarm optimisation (PSO), and global swarm optimisation (GSO). Further, we use relevance feedback methods to reformulate the user query. The proposed techniques are applied to datasets with predefined relevance judgments to perform quantitative validation. Experimental results using the relevance judgements available in the University of Glasgow's Medline collection underscored the significant improvement achieved using BM25 scores as the fitness function.","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967794","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}
{"title":"Nature-inspired query optimisation models for medical information retrieval with relevance feedback","authors":"S. Sowmya Kamath, Rahul Mudambi, Aditya Jayasimha","doi":"10.1504/ijaip.2023.10058845","DOIUrl":"https://doi.org/10.1504/ijaip.2023.10058845","url":null,"abstract":"","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888674","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}
{"title":"Face recognition using local binary pattern and Gabor-Kernel Fisher analysis","authors":"Tulasi Krishna Sajja, Hemantha Kumar Kalluri","doi":"10.1504/ijaip.2023.133254","DOIUrl":"https://doi.org/10.1504/ijaip.2023.133254","url":null,"abstract":"Face recognition technology is one of the everyday tasks in our daily life. But, recognising the correct face with high accuracy from large databases is a challenging task. To overcome this challenge, feature fusion of local binary pattern (LBP) with Gabor-Kernel Fisher analysis (Gabor-KFA) has proposed for face recognition. In this method, by using Gabor filter, extract Gabor features from a face image, on the other hand, extract features from LBP coded face image, then combined these extracted features generate high dimensional feature space. With this high dimensionality features, the complexity of training time and identification time may increase. To avoid this complexity, the Kernel Fisher analysis algorithm was adopted to reduce the feature vector size. Experiments were conducted separately on Gabor features and also on fused features. To test the performance of the proposed approach, the experiments were performed on the IIT Delhi database, ORL database, and FR database.","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967517","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}
P. Srivani, C.R. Yamuna Devi, S.H. Manjula, K.R. Venugopal
{"title":"Monitoring of environmental parameters using internet of things and analysis of correlation between the parameters in a DWC hydroponic technique","authors":"P. Srivani, C.R. Yamuna Devi, S.H. Manjula, K.R. Venugopal","doi":"10.1504/ijaip.2023.133256","DOIUrl":"https://doi.org/10.1504/ijaip.2023.133256","url":null,"abstract":"Internet of things (IoT) plays a major role in precision and sustainable agriculture system in urban farming. Hydroponic is one such modern technique where plant growth can be controlled and monitored with ease by integrating intelligence along with sensor technology. This research work presents the hydroponic deep water culture (DWC) to grow 'Amaranthus Dibius' in an indoor system, where the roots are completely submerged in the nutrient solution. The environmental parameters that affect plant growth are monitored and gathered by employing IoT based technology integrated with cloud. The parameters monitored are humidity, air temperature, water (root zone) temperature, EC and pH values through the sensor based technology using ESP32 with OLED display. The dataset is analysed using correlation coefficient and a linear regression model to know the degree of relationship between the parameters. This model shows that there is a negative correlation between root-zone temperature and electrical conductivity (EC) value.","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967509","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}
Yegnanarayanan Venkataraman, Y. Gayathri Narayana, Veena Narayana
{"title":"On primes, semiprimes and their applications","authors":"Yegnanarayanan Venkataraman, Y. Gayathri Narayana, Veena Narayana","doi":"10.1504/ijaip.2023.133257","DOIUrl":"https://doi.org/10.1504/ijaip.2023.133257","url":null,"abstract":"","PeriodicalId":38797,"journal":{"name":"International Journal of Advanced Intelligence Paradigms","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134967780","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}