Volume 12 | Issue 3 |

 Abstract

Leukemia, a widespread and life-threatening cancer that affects people of all ages, is a global health problem. This disorder predominantly affects White Blood Cells (WBCs), altering bone marrow and blood and causing immature lymphocyte proliferation. The accurate and prompt identification of leukemia is critical for successful treatment and increased survival rates. Currently, the diagnosis is based on manual examination of blood samples from microscopic pictures, a slow, time-consuming technique with inadequate accuracy. Furthermore, the visual resemblance between leukemic and normal cells under a microscope adds to the detection problem. Recent years have witnessed the emergence of Convolutional Neural Network (CNN)-based deep learning algorithms, setting new benchmarks in image classification. However, chances to improve their efficacy, learning processes, and overall performance remain, notably in the field of leukemia diagnosis. In this detailed analysis, we dig into several methodologies previously used in the field of blood cancer detection. In addition, we highlight the field by displaying benchmark datasets often used in leukemia detection studies. We want to clarify the intricacies and complexity within this domain through comparative study, thereby driving advancement in leukemia diagnosis and treatment.

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 Keywords

Leukemia Cancer, Deep Learning, Machine Learning, Convolutional Neural Network, Microscopic images.

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Creative Commons Attribution 4.0 and The Open Definition

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The judicial landscape in India is undergoing a significant transformation with regards to the protection and enforcement of the rights of victims. This article delves into the intricate judicial pursuit aimed at safeguarding the rights of victims within the Indian legal framework. Through an analysis of landmark cases, legislative developments, and judicial pronouncements, this study offers insights into the evolving nature of victim rights protection. Key areas of focus include access to justice, compensation, rehabilitation, and participation in legal proceedings. The article highlights the challenges faced by victims in navigating the legal system and the efforts made by the judiciary to address these challenges. Moreover, it explores the role of judicial activism and public interest litigation in advancing the cause of victim rights. By examining the principles of restorative justice and victim-centric approaches, this article underscores the need for a holistic and rights-based approach towards victim protection. Ultimately, it contributes to the ongoing discourse on enhancing the efficacy of legal mechanisms in promoting the rights and dignity of victims in India's evolving socio-legal landscape.

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 Keywords

Victim rights, judicial pursuit, India, access to justice, compensation, rehabilitation, legal proceedings.

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, we propose the use of CycleGAN for custom outfit generation. CycleGAN is a type of Generative Adversarial Network (GAN) that can learn to map images from one domain to another domain without requiring paired training data. Our goal is to generate new, realistic images of clothing items based on existing images from a different source domain. We propose a novel approach that combines CycleGAN with a fine-tuning step using a small set of paired data. Our approach is able to generate custom outfits that are both realistic and visually appealing, with high-quality details and textures. We evaluate our approach using a clothing dataset and demonstrate that it outperforms other state-of-the-art methods in terms of image quality and visual similarity.

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 Keywords

CycleGAN, GAN.

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Creative Commons Attribution 4.0 and The Open Definition

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The depression is a medical condition and it is among the major mental diseases that affects numerous people worldwide. For this work, the Distress Analysis Interview Corpus-Wizard of Oz interviews (DAJC-WOZ) dataset will be utilized which contains 189 sessions in zip file format and responses from 59 depressed and BO non-depressed patients[1]. This dataset has video, audio and text clips so individual preprocessing techniques are utilized which is given as a source for depression detection level. The inputs are in the form of video, audio and text, so individual preprocessing methods for feature extraction are used with separate techniques. Then, the extracted features from separate techniques are concatenated and given as input for the classification of depression level. The Long-Short Term Memory (LSTM) can be utilized in this research for classifying the depression levels

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

vikashshil desho k liye aarthik prgati me buniyadi dhache ke mhatva ka adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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vikashshil desho k liye aarthik prgati me buniyadi dhache ke mhatva ka adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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Wheat crop classification and prediction are important tasks for the optimization of crop yield and resource utilization. In this study, we propose an Artificial Neural Network (ANN) model integrated with Genetic Algorithm (GA) to predict and classify the wheat crop images of different ages. The dataset of 19,300 images was used, and the model was trained and tested using various performance evaluation metrics. The results show that the proposed ANN+GA model achieved the highest accuracy of 99.29% during the training phase and 98.65% during the testing phase. The model was also compared with other state-of-the-art machine learning models, and the proposed model was found to be superior in terms of accuracy, specificity, sensitivity, precision, and F-measure. The graph of training and testing accurateness and loss values in contradiction of individual epoch demonstrating the speediness of model convergence. Our proposed model is feasible and robust, giving better classification and crop forecast outcomes for numerous wheat crop age groups with least resource necessities. These findings could be useful for farmers and agricultural researchers in improving crop yield and resource management.

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 Keywords

Genetic algorithm, Artificial Neural Network, prediction, crop yield

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Competency helps to perform your work/job effectively. Competency is human quality, like- collaborative skills, knowledge and skills. An effective digital pedagogy thus starts not with a static list of tools, but with fundamental learning goals and strategies, to which appropriate technology is added to strengthen student outcomes and objectives. Technological awareness expresses the knowledge, experience, comfort and skills needed to use basic technology. In the 21st century, it is essential for teachers because today's word is changing rapidly and the education sector is experiencing these changes, especially in media. The overarching purpose of this research was to find out to what is the competency of teacher to use the technology in teaching. A representative sample of 90 higher secondary school teachers (50 in the city and 40 in the village side) was taken, and Teacher's Techno- Pedagogical Competence Scale developed by S. Rajshekhar and K. Sathiyaraj, was used to collect data. The scale consists 40 items divided into four category- I. Technology in preparation for teaching, II. Technology in providing motivation, III. Technology in presentation, IV. Technology in evaluation. After collecting or analyzing the data, the researcher found that there is no significant difference between Techno - Pedagogical Competency of higher secondary school teachers based on gender (male and female) and region (urban and rural).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Technology, Digital Pedagogy, Technology and Pedagogy

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Creative Commons Attribution 4.0 and The Open Definition

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The importance of road transport is huge as it plays a vital role in connecting people. According to data released by the Pune City Traffic Police, nearly 293 Punekars lost their lives in road accidents in the city in 2022. An analysis conducted by the Pune Traffic Branch has revealed that of the 87 fatal two wheeler deaths in accidents on Pune roads in 2020. The timely emergency pre-hospital care and subsequent transportation of accident victims to the health facility may help reduce the accident and injury outcomes. This project focuses on detecting ongoing accidents to activate emergency services promptly. The system is equipped with sensors which are capable of detecting sudden impacts or collisions, signifying the occurrence of an accident. Key feature of the project include the seamless operation of the embedded system, allowing it to function without interfering with the bike's normal operations. In brief, the project holds the potential to save lives and improve emergency management for motorcycle accidents, providing a vital contribution to road safety without going into accident prediction.

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 Keywords

SOS, Emergency services, Sensors, Accident detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ImpactInvestingisacommunityofinvestorswillingtocreatesocialandenvironmentalimpact along with financial returns by investing either directly with Base of Pyramid5 (BoP)enterprises or indirectly through enterprises that help in creating impact by investing in BoPorganizations. Adoption of SDGs6 quantified the expectation paradigm of the global communityfor social, environmental and economic achievable and projected/targeted achievement of SDGsby 2030 made the governments, businesses, institutions daunted with the task in hand hence, it isimperative for investing community to contribute its share as well. With high social need andunderservedpopulationIndiahasbecomeatestbedforimpactinvesting.However,withincreasingimpactinvesting,ImpactMeasurementandManagement(IMM)gainssignificantimportanceasitallows investors to evaluate impact and channelize fund to most effective solutions. The presentstudy conducted for year 2019 not only attempts to explore impact investing landscape in Indiaand its future dimension but it simultaneously does content analysis of impact report of investorsusing impact value chain7 and indicators developed on the basis of SDGs targets and indicators.The analysis aims to establish a link between developed indicators and impact, the link onceestablished, developed indicators will provide agile, cost effective, quantifiable and measurablebasisto impact that has worldwide acceptance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impact Investing, Sustainable Development Goals (SDGs), Impact Measurement,ImpactMetrics,Indicators.

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Creative Commons Attribution 4.0 and The Open Definition

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Social media has been a tool in raising voice, awareness, and call for social change. It allows people to have access to a level of communication that the older generation never had. Through social media, people can now easily call out wrong practices, injustices, and have a voice in different situations. The main objective of the present investigation is to analyze the role of Social Media - YouTube and Instagram on costume variation and to find out changes in style of costumes of young adults. A sample pool of 150 youngsters' was selected, out of which, 75 were males and 75 were females from Hyderabad city. A questionnaire consisting of 24 questions was prepared with suitable items which were filled by the Young Adults in Hyderabad City. It was found that Social Media - YouTube and Instagram have positive and significant role on costume variation and in the change in styles of costume of young of young adults.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media , Costume Variation

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Creative Commons Attribution 4.0 and The Open Definition