International Journal of Experimental Research and Review最新文献

{"title":"Analysis of Meta-Heuristic Feature Selection Techniques on classifier performance with specific reference to psychiatric disorder","authors":"Chandrabhan Singh, Mohit Gangwar, U. Kumar","doi":"10.52756/10.52756/ijerr.2023.v31spl.006","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.006","url":null,"abstract":"Optimization plays an important role in solving complex computational problems. Meta-Heuristic  approaches work as an optimization technique. In any search space, these approaches play an excellent role in local as well as global search. Nature-inspired approaches, especially population-based ones, play a role in solving the problem. In the past decade, many nature-inspired population-based methods have been explored by researchers to facilitate computational intelligence. These methods are based on insects, birds, animals, sea creatures, etc. This research focuses on the use of Meta-Heuristic methods for the feature selection. A better optimization approach must be introduced to reduce the computational load, depending on the problem size and complexity. The correct feature set must be chosen for the diagnostic system to operate effectively. Here, population-based Meta-Heuristic optimization strategies have been used to pick the features. By choosing the best feature set, the Butterfly Optimization Algorithm (BOA) with the Enhanced Lion Optimization Algorithm (ELOA) approach would reduce classifier overhead. The results clearly demonstrate that the combined strategy has higher performance outcomes when compared to other optimization strategies. \u0000 ","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554218","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":"Design and development Virtual Doctor Robot for contactless monitoring of patients during COVID-19","authors":"Amrita Rai, Krishanu Kundu, Rahul Dev, Jayshankar Prasad Keshari, Dhananjay Gupta","doi":"10.52756/10.52756/ijerr.2023.v31spl.005","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.005","url":null,"abstract":"The main objective of this paper is to design and develop a virtual doctor robot (VDR) that will operate on the command of the actual doctor available far away from the patient through new technology AI and IoT. It is not possible for doctors to be present everywhere and every time, especially in remote areas of India during COVID-19. As a result, in an emergency, many patients lose their lives because they couldn’t reach the hospital on time or the doctor couldn’t be available on time. In such a situation, virtual doctor robots play a vital role in healthcare with real-time data processing with machine learning algorithms. In this paper, technological innovation has created new opportunities to enhance doctor services without contact using robots that can assist patients in dealing with their illnesses and providing solutions. Virtual doctor robots can benefit healthcare by satisfying patients with more precise solutions. The virtual doctor robot design presented in this paper can rescue patients in remote areas during any pandemic like COVID-19. Through this virtual doctor robot, the doctors can observe and communicate with the patients through video calls and prescribe necessary medicines through scanner. The proposed  VDR will help the doctors check the patient's pulse, body temperature, heart rate, etc. through different sensors mounted in the robot structure and send that data using the Wi-Fi network. The doctors will use an IoT-based panel to control and monitor the robot and patients. The control commands that are sent by the doctor to the VDR are sent online and the robot controller then receives these commands. The VDR also showcases other functions like alerting the battery status to remind one that the battery needs to be charged. It also stores the data related to diagnosed patients through cloud networking. The framework of VDR is based on an automated vehicle with a four-wheel drive for its movement and communication between the doctor and VDR is in real-time through the internet. This paper also discusses the future trends of Virtual Doctor robots for the health sector, humanoid robots for surgical help, and other activities of the healthcare sector.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116437955","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 comparative study of different security issues in MANET","authors":"Ankita Kumari, S. Dutta, Soubhik Chakraborty","doi":"10.52756/10.52756/ijerr.2023.v31spl.016","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.016","url":null,"abstract":"In a MANET (Mobile Ad-Hoc Network), an intruder can attempt to gain unlawful access to the network to obtain sensitive information. These attacks can occur at various network layers, and different attacks can be carried out. To mitigate the risks of such attacks, several solutions have been proposed. It can be characterized by dynamic topology, meaning that the network is formed by a group of nodes communicating wirelessly and without centralized control. This feature makes MANETs highly vulnerable to attacks, especially when malicious nodes are introduced into the network. These malicious nodes can engage in malicious activity that severely damages the network's performance and credibility. Among the major attacks that can be carried out in a MANET are Sinkhole attacks, Black hole attacks, and Wormhole attacks. Sinkhole attack, a malicious node intercepts a data packet, alters its contents, and then forwards it to its neighbors. This can cause other nodes to send their data packet to the malicious nodes, compromising the safety and privacy of the network. In a BHA, malicious nodes drop the data packet it receives, preventing them from accomplishing their intended destinations. This can result in a DoS attack, where legitimate users cannot access the network. A WHA involves two malicious nodes colluding to drop data packets from the network. They create a virtual tunnel between them, and any data that passes through this tunnel is dropped, making it impossible for legitimate nodes to communicate with each other. All these attacks can cause significant damage to the network, and researchers have proposed various solutions to protect the network from them. These solutions include using IDS, deploying secure routing protocols, and developing secure algorithms for data transmission. By implementing these solutions, it is possible to improve the Safety and trustworthiness of the MANET and prevent malicious nodes from causing harm to the network.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310388","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":"Development of validated HPTLC and UHPLC methods for quantification of Withanolide in extract and formulation","authors":"Sufiyan Ahmad, Mahendra Ganbase, Nitin Deshmukh, K. Patil, Lokesh Barde, Mahesh Deshpande, Asmita Gaikwad, P. Tajane","doi":"10.52756/ijerr.2023.v30.035","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.035","url":null,"abstract":"High performance thin layer chromatography (HPTLC) and Ultra-High-Performance Liquid Chromatography (UHPLC) techniques were developed and validated to quantify Withanolide in extract and formulation. On Al-backed silica gel 60 F254 TLC plates (10 cm × 10 cm, layer thickness 0.2 mm), which had been prewashed with methanol, HPTLC separation was carried out. Dichloromethane: Methanol: Toluene: Acetone in various ratios produced good separation in mobile phase (5:1:1:0.5 v/v). Camag TLC scanner densitometric scanning at 365 nm determined and quantified. This approach produced compact Withanolide spots at Rf 0.48. ICH guidelines verified HPTLC's precision, reproducibility, and accuracy. Withanolide linearity was 500-3000 ng/spot with R2= 0.9994. LOD & LOQ were found to be 9.48 & 28.73 ng respectively. For UHPLC, Cosmosil C18 was used with acetonitrile: water (0.2 % OPA) (70:30, v/v) mobile phase. Flow rate was 1.5 mL/min. Under optimal chromatographic conditions, Withanolide was retained for 5.9 min and detected at 254 nm. ICH guidelines verified UHPLC's precision, repeatability, and accuracy. Withanolide linearity was 10-60 μg/mL with R2= 0.9994. LOD along with LOQ were 0.411 and 1.245 μg. HPTLC and UHPLC procedures utilized for regular quality control and quick screening of active components from plant extracts.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114799777","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":"GLSTM: A novel approach for prediction of real & synthetic PID diabetes data using GANs and LSTM classification model","authors":"Sushma Jaiswal, Priyanka Gupta","doi":"10.52756/ijerr.2023.v30.004","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.004","url":null,"abstract":"Generative Adversarial Network (GAN) is a revolution in modern artificial systems. Deep learning-based Generative adversarial networks generate realistic synthetic tabular data. Synthetic data are used to enhance the size of a relatively small training dataset while ensuring the confidentiality of the original data. In this context, we implemented the GAN framework for generating diabetes data to help the health care professional in more clinical applications. GAN is used to validate the Pima Indian Diabetes (PID) Dataset. Various preprocessing techniques, such as handling missing values, outliers and data imbalance problems, enhance data quality. Some exploratory data analyses, such as heat maps, bar graphs and histograms, are used for data visualisation. We employed hypothesis testing to examine the resemblance between real data and GAN-generated synthetic data. In this study, we proposed a GAN-Long Short-Term Memory (GLSTM) system, in which GAN is used for data augmentation, and LSTM is used for diabetes classification. Additionally, various GAN models such as CTGAN, Vanilla GAN, Coupula GAN, Gaussian Coupula GAN, and TVAE GAN are used to generate the synthetic dataset. Experiments were conducted on real data, synthetic data, and by combining real and synthetic data. The model that used both real and synthetic data obtained a substantially better accuracy of 97% compared to 92% when only real data was used. We also observed that synthetic data could be used in place of real data, as the mean correlation between synthetic and real data is 0.93. Our study's findings outperformed when compared to state-of-the-art methodologies.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152777","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":"Emotions in retail setting: a systematic literature review based on current research","authors":"Renu Sharma, M. Mohan, S. Gupta","doi":"10.52756/ijerr.2023.v30.039","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.039","url":null,"abstract":"This study aims to find out how emotions influence shoppers’ behaviour in offline retail settings and how they get influenced by different elements. This research makes use of secondary data with an in-depth study of research papers published in the last ten years (the year 2012 onwards) in ABDC category ’A’ research journals. Emotions play a complex role in retail consumption. Personal and interpersonal relationships, atmospheric factors, including messiness & crowding, and the interplay of different emotions exert significant influence on consumer emotions. Positive emotions encourage ethical buying, which in turn gives a boost to positive emotions. Consumer ambivalence is prevalent in luxury shopping where negative emotions complement positive ones. The study is based entirely on secondary data. All the research papers which are a part of this study dealt with shoppers in malls, shopping centres, and retail stores. There is a lack of research in the context of shopping markets and shopping streets. Retailers and marketers can plan their atmospherics, marketing mix, and promotions based on the emotions they wish to engineer amongst shoppers. As the role of emotions varies according to the retail format experiences can be customized and designed to cater to target customers and staff should be trained to understand consumer emotions. An understanding of emotions can help enhance ethical buying which is beneficial for the environment and society.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128270080","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":"Assessment of the SPF and Anti-Irritating Properties of Sunscreen designed for Retinol users","authors":"Pritipadma Panda, Saimanisha Muppidi, Kartheswari Karuturi, Meghana Reddy Moranganti, Sandeep Mukkamala","doi":"10.52756/ijerr.2023.v30.017","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.017","url":null,"abstract":"Vitamin A and its derivatives, also known as retinoids, when applied topically for anti-ageing benefits, typically cause erythema and dryness on the skin, which are considered significant and common side effects. Furthermore, users of topical retinoids, like everyone else, need a sunscreen that protects the skin from harmful sun exposure while simultaneously countering the erythema and dryness of the skin. Retinoids also enhance the rate of skin cell turnover and expose newly produced skin to solar exposure, increasing the risk of sun damage and hyperpigmentation. Since the skin becomes sensitive with topical retinoids, a sunscreen must possess the further benefit of elevated skin resilience, which is much needed with conventional sun protection. ‘‘EI Pro Retinol Sunscreen’’ came up with a new innovative sunscreen with UV protectants and other active ingredients that have calming and soothing properties that minimize erythema and dryness. EI launched the “EI PRO Retinol series,” which includes the “EI PRO Retinol Sunscreen,” to protect the skin from the detrimental effects of ultraviolet rays as well as further irritation and itching caused by retinoid actions on the skin. In this study, researchers attempted to develop and design a sunscreen using a patented sunscreen agent (a combination of water, ethylhexyl methoxy-cinnamate, butyl methoxy-dibenzoyl-methane, benzophenone-3, phospholipids, and 1,3-butylene glycol) and Porphyridium cruentum (marine algae) for skin resilience, antioxidants like ascorbic acid, vitamin E, and soothing agents like carrot seed oil and sodium hyaluronate. Sunscreens are evaluated based on their sun protection factor (SPF), PA rating, and critical wavelength. Usually, sunscreens with an SPF above 50, a PA rating of ++++, and a critical wavelength over 370 nm would offer higher sun protection and block both UVA and UVB rays. The results showed that “EI PRO Retinol Sunscreen” has a critical wavelength of 376.67 and is considered a broad-spectrum SPF 50 PA++++ sunscreen. Thus, ‘‘EI PRO Retinol Sunscreen’’ is also proven to be safe on the skin without irritation, and it is proven to be non-irritant by a single, blinded patch test method. \u0000 ","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114792254","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":"Wavelet transformation and predictability of Gold Price Index Series with ARMA model","authors":"Prabhat Mittal","doi":"10.52756/ijerr.2023.v30.014","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.014","url":null,"abstract":"The U.S. gold futures market has recently attracted significant attention globally in the highly volatile equity and commodity futures markets. This study investigates an efficient algorithm based on ARMA denoising with wavelet transformation to measure the predictability of COMEX gold prices. The wavelet denoising decomposes and extracts the complex underlying structure and can reduce distortions occurring in the time series. The study has analyzed the COMEX gold time series for a period of the past five years, 2017-2022. The results show the outcome of alternative measures of predictability of the time series. The predictive measure with the traditional approaches assumes that the time series are linear and stationary over the long run and fails to explain the accuracy requirement in the short horizons. The results show a significant performance change compared to the conventional forecasting techniques.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115019929","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":"Formulation and Evaluation of Polyherbal Emulgel","authors":"Jitendra Kandale, J. Sangshetti, G. Dama, J. Bidkar, Ramraja Umbare, Gauri Ghangale","doi":"10.52756/ijerr.2023.v30.027","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.027","url":null,"abstract":"The foible of allopathic medicines has resulted in adopting herbal plants that have been proven cost-effective with fewer adverse effects. Thus, the evaluation of the potential of herbal plants for the formulation of innovative dosage forms has resulted in the cure of various disease conditions. Thus, in context, the main aim of this work was to formulate the topical emulgel using herbal extracts of Ocimum sanctum, Rubia cordifolia, Glycyrrhiza glabra and Punica granatum. Emulgel was prepared by use of 23 factorial designs and the influence of the type of the gelling agent on viscosity and drug release from the prepared emulgel was investigated. The results found that the EG7 formulation was the optimized batch with pH of 6.3±0.02, viscosity of 5998.7±1.2 mPas, drug release of 89.75± 3.5% and in terms of stability. The results indicated the emulgel formulations were successful concerning all of the parameters.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122081224","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":"Study on segmentation and prediction of lung cancer based on machine learning approaches","authors":"Anindita Saha, R. Yadav","doi":"10.52756/ijerr.2023.v30.001","DOIUrl":"https://doi.org/10.52756/ijerr.2023.v30.001","url":null,"abstract":"Lung cancer is a dangerous disease in human health. At the early stage, lung cancer detection provides a way to save human life. As a result, improvements in Deep Learning (DL), a technique, a branch of Machine Learning (ML), have helped to identify and classify lung cancer in clinical photographs. DL technology has also outperformed traditional methods in a variety of fields. Researchers are exploring various DL techniques for disease detection to improve the accuracy of the CAD systems in CT lung cancer detection. In this experiment, cutting-edge ML  and DL methods for lung disease have been recommended as CAD systems after thoroughly analysing existing frameworks. It can be separated into FP reduction systems and system to detect nodule. The primary characteristics of various approaches are analyzed. The CT lung datasets existing for examination and evaluation with the various approaches are also presented and discussed.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129420393","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}