Volume 12 | Issue 1 |

 Abstract

The current corona virus disease 2019 pandemic poses a serious danger to global public health. To evaluate its impact and guide control measures, we integrate the information on demographics, connection arrangements, illness austerity, health care accommodation and quality. Blooming community in low income nations may decrease the total risk, but insufficient healthcare capacity can have combined with more international interaction cancels this advantage. These moderation techniques that decrease but do not stop transmitting would nonetheless result in covid19 outbreaks promptly mind blogging immune systems, with significant excess fatalities in low income nations because to inadequate health care. Lower income countries have been more aggressive in their suppression efforts to date. This review provides an overview of the current state of all models for the detection and diagnosis of COVID-19 and processing based on some machine learning and deep learning techniques. According to observations, supervised machine learning techniques and deep learning techniques have an extraordinary capacity to provide accurate and efficient results for the detection and diagnosis of covid-19.

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 Keywords

COVID-19, machine learning,supervised machine learning, deep learning,

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 Abstract

A lot of power lies hidden within us, but it is unfortunate that many of us don't realize it. Although some people know about it, they never try to bring it out and use it in a beneficial way because they don't value it much. This article attempts to show, through a small experiment, how much-hidden potential we have that is being wasted, unused, and unrecognized. Through this article, we would also like to drive home our point that when we are able to use the magnitude of our energies in one particular direction, we can succeed in our endeavors.

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 Keywords

Motivation, Hidden Strength, Papers and Their power, Weak and strong

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As global life expectancies rise, the intersection of longevity and financial security becomes increasingly pertinent. This research delves into the multifaceted relationship between longevity and pension systems, aiming to understand their pivotal role in promoting retirement well-being. The study conducts a comprehensive analysis of existing pension structures, their strengths, and shortcomings, shedding light on the evolving landscape of retirement funding. The investigation extends beyond traditional approaches to consider innovative solutions for sustainable retirement funding. The need for adaptable pension systems is paramount in a rapidly changing economic environment characterized by demographic shifts and technological advancements. The research explores cutting-edge strategies, such as incorporating technology-driven investment platforms, exploring alternative investment instruments, and optimizing policy frameworks to ensure long-term financial security for retirees. Through quantitative analysis and qualitative insights, this research contributes to the ongoing discourse on the challenges and opportunities associated with the longevity-financial security nexus. By examining the intricate interplay between pension systems and the well-being of retirees, the study seeks to provide actionable recommendations for policymakers, financial institutions, and individuals to navigate the complexities of an aging population and foster sustainable retirement funding models.

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 Keywords

Exploring Innovative, Financial Security, Pension Systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Every country now has a serious issue with traffic regulation and vehicle ownership identification. Identifying the driver of a car that breaches traffic laws or goes too fast can be challenging at times. Due to the possibility that the traffic official may not be able to obtain the vehicle number from the moving car due to the speed of the vehicle, it is impossible to catch and penalize those types of offenders. Therefore, one of the solutions to this problem is to develop an automatic number plate recognition (ANPR) system. Today, a variety of ANPR systems are accessible. Despite the fact that these systems use various approaches, the work is still quite difficult because to things like the vehicle's rapid speed, non-uniform number plate, and language. The total rate of recognition can be significantly impacted by the quantity and type of lighting. Most systems function with these restrictions. In this work, various ANPR strategies are described while taking into account processing time, success rate, and image size as criteria. An ANPR expansion is proposed at the end of this work. Artificial Neural Network (ANN), Character Segmentation, and Automatic Number Plate Recognition (ANPR) image segmentation, optical character recognition, and license plate analysis.

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 Keywords

Automatic Number Plate Recognition (ANPR), Artificial Neural Network (ANN), Character Segmentation Image Segmentation, Number Plate, Optical Character Recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Key words: Apiary, honey, hills, plains, western ghats, thiamine (B1), riboflavin (B2), niacin (B3), panthothenic acid (B5), pyridoxine (B6) and ascorbic acid (C), wild, Karnataka.

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The goal of "AI-Driven Talent Matching: Empowering HR Professionals with Reinforcement Learning" is to transform hiring practices by fostering a mutually beneficial partnership between employers and employees. When HR specialists thoroughly specify Job Descriptions (JDs) on the platform, the project gets underway. Meanwhile, job applicants upload their resumes, resulting in the establishment of profiles summarizing their credentials and experiences. After that, the system gathers essential data to create unique JDs for each seeker. The degree to which these customized JDs resemble the HR's JD is measured by a computed similarity score, guaranteeing a data-driven method of candidate assessment. Based on these scores, candidates are ranked, and Recruiters are then presented with top ranked candidates by applying a threshold. The incorporation of reinforcement learning will improve the recommendation model through learning from recruiter's feedback. Feedback in the form of "yes" or "no" from recruiter reviews of candidates enables the model to dynamically modify the similarity score threshold. This research explores the shifting dynamics of the labor market and makes the case for a datadriven strategy that would enable recruiters to make well-informed choices when hiring and selecting candidates. The process ends with a screening test to make sure applicants have the skills that are needed for the job. Better recruitment outcomes are promised by this cutting-edge approach, which will help both Recruiters and job seekers.

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Reinforcement Learning, Data-Driven, Job Descriptions, Recommendation Engine, Job Seekers

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 Abstract

The study examined the fastness properties of cotton fabric dyed with flowers from Thespesia populnea using various ratios (1:3,1:1, and 3:1) of various mordants. These ratios included myrobolan:nickel sulphate, myrobolan:aluminum sulphate, myrobolan:potassium dichromate, myrobolan:ferrous sulphate, and myrobolan:stannous chloride. We examined the washing, rubbing and sweat fastness of the colored samples. Comparing the color strength and fastness of cotton flowers colored with Thespesia populnea using a combination of mordants. When Thespesia populnea is simultaneously mordanted with a 1:3 mordant combination, the greatest results are obtained when comparing the fastness qualities and color strength of cotton materials that have been dyed.

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 Keywords

Cotton fabric, Dyeing, Thespesia Populnea, Mordants

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Creative Commons Attribution 4.0 and The Open Definition

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Women's empowerment is a process in which women effectively promote their well-being by challenging accepted conventions and culture. Women's empowerment in social and economic dimensions was significantly impacted by their involvement in Self Help Groups (SHGs). In the Karnataka district of Shivamogga, women's empowerment through self-help groups is the subject of this study. Both primary and secondary sources have been used to gather the study's data. The approach used was a multistage random sampling technique. To interpret the data in a way that made sense, average and percentage analysis was done. The Garret ranking method was employed to determine the motivations behind joining the self-help group. To quantify and ascertain the link between the observed variables, factor analysis was performed. The study's findings showed that the SHGs had a higher impact on the recipients' social and economic facts

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 Keywords

Micro Finance, Garret Ranking Technique, Woman Empowerment, SHG, Shivamogga.

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Abstract -Present study was carried out to examine the water quality assessment to Tumaria reservoir the observation of physico-chemical parameter of water such as water, temperature, transparency, TDS, PH, DO, alkalinity, chloride, turbidity, velocity. We are determine during study period in order to create the geographic thematic map on, annual variation of physical -chemical parameters. Physico-chemical study on this research paper has help in analyzing the water quality of reservoir in protecting manner to maintain the ecological balance.

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 Keywords

Tumaria reservoir, Physical -chemical parameters, Water quality

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As far as we are aware, Homo sapiens is the most sentient species on Earth. On the other hand, technology is developing quickly, and it is undeniable that machine learning is now replacing human skills. Arthur McCarthy first used the term artificial intelligence in 1956. The ability of a digital computer or computer-controlled robot to carry out actions typically associated with intelligent beings is known as artificial intelligence (AI). AI has a wide range of applications in the legal field. Technology in the legal field has advanced because of globalization. Artificial Intelligence (AI) is being utilized in courts in nations like the United States and the United Kingdom, where technological advancement has reached incredible heights. The technology is being advanced to assist judges in making decisions. Artificial intelligence is intangible and concentrates on tasks with the help of intelligence techniques such as: But artificial intelligence has the potential to transform everyone's daily life drastically. Whether this is a good or bad thing, we must adhere to the right framework to guarantee that AI has a positive impact.

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 Keywords

Artificial Intelligence (AI), "Intelligence," technology, lawyer, AI Used in Policing

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Creative Commons Attribution 4.0 and The Open Definition