Volume 9 | Issue 4

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Soil Moisture Sensor, Ph Sensor, Ardunio, Temperature Sensor

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Mathematics is very important in our life. Through this mathematics we are achieving many problems in daily life. Mathematics can take the first place in enhancing our knowledge. Currently we are experiencing maths problems in general. In the present generation we can find mathematical problems easily and accurately using various types of algorithms .We will learn some of types of algorithms in detail in this paper. In this paper mainly focus on types of algorithms to solving in mathematical of combinatorial programming problems in theoretical.

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Introduction- Combinatorial Programming issues-Types of Algorithms-Conclusion.

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Key Words: Technology advancement, employee commitment, manufacturing sector

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COVID-19, PANDEMIC, AGRICULTURE, MIGRANT

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Consumer, E-Commerce, Online Shopping, Attitude, Behaviour, etc..

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Heart Disease is the life threatening disease which is increasing at a very fast pace as many people suffer due to this every year and at present, heart disease is the number one cause of death worldwide. This disease affects heart as well as other body part so to provide an efficient analysis of disease, helps to the medical team in treatment. Early detection of this disease can save many lives by proper treatment. The traditional diagnostic methods like blood tests, electrocardiogram, cardiac computerized tomography scan, cardiac magnetic resonance imaging, etc are time consuming and/or invasive. In this review paper, many heart disease detection techniques were studies which were proposed in past few years. This paper narrates about the methodologies used by the researchers and accuracy claimed by them. For examining the claimed accuracy a common data set was used and a comparison table of various techniques was given in result discussion section. This paper presents the techniques which having acceptable accuracy level.

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Heart Disease Detection Techniques, Machine Learning and Deep Learning for Heart Disease

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In this technological era the use of gadgets such as cell phone has expanded, Short Message Service (SMS) has developed into a multi-billion dollar industry. Simultaneously, a decrease in the expense of informing administrations has brought about development in spontaneous business promotions (spams) being shipped off cell phones. In pieces of Asia, up to 30% of instant messages were spam in 2012.The absence of genuine information bases for SMS spam, a short length of messages and restricted highlights, and their casual language are the variables that may cause the setup email sifting calculations to fail to meet expectations in their order. In this undertaking, a data set of genuine SMS Spam store is utilized, and subsequent to preprocessing and highlight extraction, distinctive AI methods are applied to the information base. SMS spam filtering is a comparatively recent errand to deal such a problem. It inherits many concerns and quick fixes from Email spam filtering. However it fronts its own certain issues and problems at last, the outcomes are thought about and the best calculation for spam sifting for text informing is presented.

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SMS Artificial Intelligence Algorithms Machine learning

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Forming a strategic alliance with the U.S. telecommunications company, AT&T will also prove to be an opportunity for One Plus, yet comes with a set of risks and challenges as well. However, a strategic alliance will come with a heavy price tag, and distribution matters will have to be revamped. Further risks stem from the level of the consumer. One Plus must be prepared to compensate for relying solely on e-commerce in selling their product. Ecommerce limits the amount of customer interaction opportunities the company could greatly benefit from. It also reduces the level of satisfaction and loyalty the consumer will have towards the product.

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Innovation, smartphones, customer preference, technical features.

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In this modern period, people have to control everything with their mobiles, So our motive behind this research paper is that we will provide such an application to the people by which people can rent a vehicle at any time anywhere. Our proposed web application is not just for renting cars and bikes like OLA and Uber, but with the help of this, you can rent equipment for farming, picnic bus and auto-rickshaw for those who cannot afford to buy auto-rickshaws, can rent rickshaws from a website and earn their earnings. In this, we will give the facility to the owner that he can decide the price of his car on his own. Customers will get a lot of options in it like different price vehicles will be available to them according to their convenience. Our proposed web system is very secure and easy to use. It can be used by a person of any age. The project is proposed to make effective use of computer science skills PHP, MYSQL, HTML, and JavaScript to come up with an interactive, large, and easy to access and use platform for a Novel vehicle renting System Using Full-stack technology.

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Earn Money; Add to Cart; Vehicle Brands; Farming Services; Price Range Discovery.

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ABSTRACT Drynaria quercifolia (L.) J. Smith is an important medicinal plant used in traditional medicinal system by different group of people to treat various kinds of health problems. It is commonly known as oak leaf fern of the family Polypodiaceae of Pteridophyta. It is distributed widely in the evergreen forests of India and is native to tropical areas of Africa, Asia, and Australia and cultivated mostly as a medicinal plant. It plays an important medical role in many countries, especially in Asia. Various phytochemicals like 3,4-dihydroxybenzoic acid, friedelin, epifriedelinol, ?-amyrin, ?-sitosterol and ?-sitosterol 3-?-D-glucopyranoside has been isolated from the plant. The rhizome is reported to have anti-fertility, anti-inflammatory and antipyretic, antimicrobial, antioxidant, wound healing, bone regenerative activity and various other activities of traditional and medicinal uses. This review has been aim to provide scientific information and folklore uses of Drynaria quercifolia as an ethno-medicinal plants.

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Drynaria quercifolia, rhizome, ethno-medicinal, phytochemical, antioxidant

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In cancer diagnosis and drug creation, the recognition of various tumor types is important. The majority of previous cancer classification studies, on the other hand, has been clinically based and has limited diagnostic potential. The keys to solving the fundamental problems related to cancer detection and drug development are known to be found in cancer classification using gene expression data. Researchers have begun to investigate the possibilities of cancer classification using gene expression data as a result of the abundance of gene expression data. Because of the dataset's scale, visual analysis cannot be used to determine the number of missing values. This paper depicts the novel approach of pre-processing phases of gene expression data using gene pre-processor, with a focus on the filtering and normalization steps that can effectively deal with missing values in a dataset with thousands of rows and columns for cancer type classification. The experimental analysis shows that the proposed approach of gene pre-processor produces efficient results having reduced the size of the dataset with less elapsed time.

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Pre-processing, High Dimensional data, Gene Expression, Gene-Preprocessing

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The main objective of this study was to record the floristic abundance in the riparian zone of Sabarmati river in Prantij taluka of Sabarkantha district of Gujarat state to highlight its current status. Transect-based quadrate surveys have been conducted in six sampling sites along the Sabarmati riverine stretch. A total of 197 plant species were recorded of which, trees represented 19 species, shrubs represented 27 species, and herb, grasses and sedges were represented by 120 species and 31 species were climbers. Among the tree species, Prosopis juliflora showed the highest density (166.67 ind./ha), whereas among the shrub species, Cassia auriculata showed the highest density (549.33 ind./ha). Regarding herb species, Tephrosia purpurea represented the highest density (2.353 ind./sq.m) and frequency (52 %). Moreover, the highest importance value index was measured in Prosopis juliflora (IVI-57.8) among trees, Cassia auriculata (IVI-27.86) among shrubs and Tephrosia purpurea (IVI-17.44) among herbs. The Abundance/Frequency ratio of trees species showed regular distribution pattern, shrub and climber species showed that 5 species (8%) had contagious distribution, 23 species (40%) had random distribution and 30 species (52%) had regular distribution, whereas herb species showed contagious distribution pattern within the study area. The present study also includes ? diversity (Shannon diversity index, Simpson's Index, species richness, evenness index) of the riparian flora of Sabarmati river.

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Phytosociological, Abundance/Frequency, ? diversity, Riparian

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Rural, Distribution, FMCG, Retailers, Consumers

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Keywords: Preterm birth, Gestational age, Vaginal microbiome, Intrauterine infections, Neonatal complications.

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Medical consultation and prediction has become an interactive decision-making process for patients. E-healthcare and telemedicine are now widely accepted as a method for remote consultation between patient and doctor. This paper proposes an android mobile health application model for breast cancer diagnosis and daily heath prediction with the help of which we can improve the quality of treatment for patients. Breast cancer is one of the primary reasons for the death of women in recent times, being the second most common cause of cancer deaths of women worldwide. A lot of research has been done on early detection of breast cancer so as to allow starting of treatment early to increase the chance of survival. Breast Cancer Diagnosis is distinguishing benign from malignant breast lumps. Machine Learning Techniques are used as an approach for diagnosis of this disease. The user interface will be implemented using android/java programming, and the disease diagnosis part is designed with the help of symptoms-disease data and ML prediction techniques.

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E-healthcare, Breast Cancer, diagnosis, Early Detection of Breast Cancer, Machine Learning, ML Prediction Techniques, Android app, Smart Doctor.

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Ivy Gourd, Coccinia grandis (L), also known as little gourd or baby watermelon plant, that is a member of the family of Cucurmbitaceae. It is one of the most beneficial medicinal herbs in traditional and ayurvedic medicine. The fruits of Coccinia Grandis are recognized to have active constituents similar to amyran, lupeol, taraxerone, taxerol and glycoside cucurbitacan B. The subsistence of secondary metabolites like alkaloids, flavonoids, saponins, glycosides etc. in the plant may give to their medicinal value. The tender green fruits are nutritious and are a good source of calcium, protein, calcium, fiber and beta carotene, Vitamin-A. It has been used in traditional medicine as a domestic remedy for a variety of diseases. The entire plant of Coccinia grandis having pharmacological actions such as analgesic, antipyretic, anti- inflammatory, antimicrobial, antiulcer, antidiabetic, antioxidant, hypoglycemic, hepatoprotective, antimalarial, antidyslipidemic, anticancer, antitussive, mutagenic. Therefore, the final note emphasizes this plant broadly being used for the treatment of diabetes, jaundice, hypertension, fever and gastrointestinal exertion and to relieve pain. The Coccinia grandis has good likely of medicinal values and chemical constituents.

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Ivy gourd, pharmalogical activities, Coccinia grandis, antidiabetic

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OAS, Online auction system, computer science, auction, online auction, english action, website, webdevelopment

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Now-a-days road accidents are increasing rapidly due to carelessness of driving, Over Speeding, Drunken Driving and many others. If we see a newspaper and we will find atleast one or two news about road accidents daily. Aroad accidentiswherea vehicle crashesintoanother vehicle or a person or an object. These accidents can lead to very dangerous injuries and also death in some cases. For quick proclamation and identification regardingan accident there is no system.Thispaper dealswin the accident detection and alerting system. The main focus of this paper is to detect the accident immediately after it has been occurredandinform to the emergency services and family members and friends so that proper action can be taken quickly to avoid severe injuries. This system focuses to alert the registered mobile number and gives the information to the nearby medical center about the accident to provide instant intensive care. The main mottoof our framework is to pass an alert stating that such an accident has taken place at particular coordinates of latitude and longitude to the registered m obile using wireless communication techniques. In a short span of time, the message will be sent to the registered Mobile using the GSM module at any place or any city, whenever an accident occurs. Arduino is the Centre of our System, that will help in performing the communication between the peripheral devices. Whenever the accident occurs sensor get activated and a message is passed to a registered mobile number with help of GSM.GPS will helpustofind out the location that where the accident occurs.

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Embedded system, Accident detection, Accident Alert message

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Webometric is measuring the websites, webpages, parts of webpages, words in webpages, link structure, web search engine results. This study examines 02 Central Universities and 03 Deemed Universities of Madhya Pradesh . Investigate Domains distribution of websites, analyze number of webpages and link pages and calculate the self link web impact factor, External link web impact factor and Revised web impact factor for Central Universities and Deemed Universities in Madhya Pradesh and Rank the websites as per the web impact factor.

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Central University, Deemed University websites Madhya Pradesh, website Analysis, Link Analysis, Internal Link, External Link, In Link, Web Impact Factor.

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The segmented energy storage management (SES) is the current and typical solution of smoothing renewable power generation fluctuations. An SES based hybrid power systems require a suitable control strategy that can effectively utilize the maximum power output and battery state of charge (SOC). Proposed system presents the efficiency of a wind/photovoltaic (PV) hybrid power system simulation analysis undertaken to improve the smoothing performance of wind/ PV/BESS hybrid power generation and the effectiveness of battery SOC control. A smoothing control method for reducing wind/PV hybrid output power fluctuations and regulating battery SOC under the typical conditions is proposed. A real-time SES based power allocation method also is proposed.

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Hybrid power, segmented energy storage & state of charge

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