Volume 12 | Issue 1 |

 Abstract

This paper addresses challenges in low-light image enhancement, crucial for applications like autonomous driving and surveillance. Existing methods, including traditional ones like histogram equalization and newer deep learning approaches, have limitations such as unnatural contrast and noise. The proposed Multi-Level Network Fusion (MFIE-Net) algorithm integrates pre-processing, image fusion, and convolutional neural network-based feature extraction. It employs multi-level network fusion to mitigate down sampling-induced feature loss and incorporates a comprehensive loss function for overall quality enhancement. The Retinex method decomposes images into illumination and reflectance components, addressing uneven lighting conditions. Multi-Scale Network Fusion models local context in multiscale network integration, using weighted features at different scales. The paper explores neural methods' applications, including Generative Adversarial Networks (GANs), Neural Style Transfer, Deep Reinforcement Learning, and neural networks in animation, interactive graphics, image enhancement, and 3D graphics. The conclusion emphasizes the importance of image enhancement, introducing three prominent methods: Retinex, Multi-Scale Network Fusion, and Local Context Modeling. Each method has unique advantages, and the choice depends on specific image characteristics and enhancement goals. The research contributes by introducing the innovative MFIE-Net and providing insights into neural methods across diverse computer graphics domains.

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 Keywords

Image Processing, Neural Networks, Image Enhancement, Quality Evaluation, Retinex Method, Multi-Scale Network Fusion, Local Context Modelling.

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Abstract-- This research paper investigates the intricacies of facial recognition technology, crucial in the realms of security systems and surveillance. The human face, a unique identifier conveying information, poses challenges in computer analysis due to the disjunction between our three-dimensional world and predominantly two-dimensional visual sensors. The burgeoning field of artificial intelligence has witnessed the development of diverse facial recognition algorithms, each navigating distinct strengths and weaknesses throughout the detection, feature extraction, and identification processes. In the detection phase, annotation methods such as bounding boxes and semantic segmentation contribute to dataset creation for training convolutional neural networks. Machine learning, with its supervised, unsupervised, and reinforcement learning paradigms, plays a pivotal role in training models to adeptly detect faces. Feature extraction, a critical step in pattern recognition, explores the roles of machine learning, neural networks, and specific face recognition algorithms in identifying common features within datasets. The research underscores the transformative potential of facial recognition technology, envisioning a future where its continuous evolution shapes industries and daily life, unlocking new frontiers in the visual domain.

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 Keywords

Computer graphics, Artificial intelligence, Image recognition, Face recognition

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Opioid dependence crisis continue to pose significant challenges globallyand ,have significant implications for public health social dynamic and the economy. Dependence to opioids can lead to increased rates of morbidity and mortality secondary to different infections. In present study an attempt has been made to see Clinical Profile of Treatment-seeking Opioid Dependent. This is A Cross-sectional Hospital-based Study include 177 opioid dependents patients through convenience sampling procedure the age group of 15-65yrs were screened on Clinical Profile sheet,A Addiction Severity Index-5 Edition ,Subjective Opiate Withdrawal Scale (sows),Clinical Opiate Withdrawal Scale (COWS)finding indicate that the assessment of the clinical and socio-demographic profile of patients with opioid dependence could be crucial for tailoring effective intervention,treatment strategies,and prevention efforts.

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Opioid, dependents,cross-sectional study, clinical profile ,social profile,Intervention.

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This Study Explores Sentiment Analysis on Subreddit Comments to Understand if Certain Topics Elicit More Positive or Negative Sentiment. Challenges Include Sarcasm, GIFs (Visual Content), Diverse Topics, Multimodal Content, and Informal Nature of Texts. We Employ Transformer Models Like BERT, RoBERTa, DistilBERT and XLNet for Analysis, Aiming to Enhance Understanding of Online Discourse Dynamics. Future Work Will Address Visual Data Handling Using Image Processing to Extract a Short Description of the Content to Check Relevancy of Comment.

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sentiment analysis, subreddit comments, PRAW, sarcasm, GIFs, diverse topics, multimodal content, informal nature, transformer models, BERT, RoBERTa, DistilBERT, XLNet

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bembala is a large irrigation project and freshwater reservoir (dam) built in the Godavari basin across the Bembala River in the Babhulgaon Taluka in the Yavatmal District of Maharashtra state. It is located near Khadak-Sawanga. It is located in latitude 20059' and longitude 78013', 29 kilometers from Yavatmal. The diversity of Ichthyofauna has been investigated from June 2022 to February 2023 at Kolhi station near Falegaon, which is 8 km from the main gate in the backwaters. According to primary inquiry reports, the ichthyofauna are classified into 10 families and the 09 order. 3 species each from the orders Siluriformes, 4-Cypriniformes, 2-Anabantiformes, 1-Anguliniformes, and 1-Osteoglossiformes, 1-Channiformes, 1-Mugiliformes, 2-Perciformes, and 1-Cichliformes were among the sixteen total species that were observed. Cypriniformes order is the most prominent among them. study was conducted for a brief time, however the search is continuing and hope in future the diversity number will goes on increasing. In the coming days we are mainly focus on other seasonal variations relating to diversity, pathogenicity and most importantly their some of the nutritious values.

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Fish Diversity, Kolhi Station, Bembla, Yavatmal, Maharashtra.

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Diabetic peripheral neuropathy is the commonest cause of neuropathy worldwide and the severity of neuropathic pain increases with increase in the duration of diabetes. Vitamin B6 is a water-soluble vitamin that is present in foods such as pork, poultry, oats, bananas, dark leafy green vegetables and is accessible in many dietary supplements. The deficiency of Vitamin B6 is considered as a risk factor for developing peripheral neuropathy. Pyridoxine strongly contributes to the proper functioning of the nervous system by facilitating neurotransmitters and myelin synthesis. Studies show that there is a decrease in serum Pyridoxal 5'Phosphate levels in diabetic patients when compared with healthy population which may contribute to glucose intolerance. Vitamin B6 supplements are used in management of diabetic neuropathy for its anti-oxidant property and which had indeed helped in reduction of painful symptoms of neuropathy. Vitamin B6 when taken in higher doses greater than daily requirement will causes neuronal damage as well.

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 Keywords

Diabetes, VitaminB6, Neuropathy, Pyridoxine

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This abstract delves into the intersection of cyber ethics and the prevalence of online obscenity in contemporary digital spaces. Focused on the ethical considerations surrounding online behavior, the study examines the challenges posed by the increasing accessibility and dissemination of explicit content on the internet. It explores the ethical responsibilities of individuals, internet service providers, and regulatory bodies in mitigating the impact of online obscenity on society. The abstract scrutinizes evolving standards of cyber ethics, emphasizing the need for a balanced approach that respects freedom of expression while addressing the potential harm caused by explicit content. Additionally, it analyzes the role of technology in both facilitating and combating online obscenity, considering the ethical implications of digital advancements. Ultimately, this abstract aims to contribute to the ongoing discourse on cyber ethics, offering insights into navigating the ethical landscape in the age of prevalent online obscenity.

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 Keywords

Intersection, Explicit, Prevalence, Prevalence, Scrutinizes

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Bollywood, the colloquial name for the Indian film business, is well known for producing a wide range of movies rapidly. However, a complicated web of copyright and remake concerns that continue to provide difficulties for the business and its stakeholders exist behind the glossy exterior of this dominant force in film. An outline of the complex issues surrounding copyright and remakes in Indian cinema may be found in this abstract. Filmmakers, authors, and artists depend on copyright rules to protect their creative works. Since numerous directors have been charged with repurposing or altering content without the necessary authorization, copyright violations in Indian cinema continue to be a persistent worry. Due to these accusations, the industry has been affected both financially and creatively by lengthy legal fights. Unauthorized domestic and international film remakes in India is one of the main problems. Bollywood has a lengthy history of translating foreign films into Indian cinema, frequently without obtaining the required rights. This behavior raises questions about the industry's ethical standards and has resulted in conflicts with foreign production companies. Moreover, successful regional films are routinely remade in India by filmmakers who disregard the original artists' intellectual property rights. These problems call into doubt the industry's ethical standards, legal compliance, and integrity as artists. The abstract additionally emphasizes the financial consequences of copyright and remake disputes. Because investors and studios are wary of sponsoring projects that could result in legal ramifications, these conflicts have the potential to discourage investment in the industry. Furthermore, expensive settlements from copyright issues might have a negative impact on the financial viability of Indian film. The global reach of Indian cinema provides a setting for exploring the cultural and creative implications of these issues. The cultural interchange between India and other countries can be impacted by remakes that draw inspiration from international and local films. Discussions over the erosion of cultural authenticity and the effect of India's film exports on its soft power have been sparked by this. These problems provide a crucial background against which Indian film must continue to develop and broaden its worldwide reach in order to preserve this dynamic and significant cinematic ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Copyright, Author, Infringement, Intellectual property rights, authorization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The purpose of the study was to investigate the body mass index of different games players. For the present study 60 female sportsperson inter-college players were randomly selected as sample. All samples were selected from the Mangalore University Karnataka. The age of the subjects was ranged from 18-27 years. The data was analysed by One Way ANOVA test in the order to determine the difference of Body mass index between cricket, throw ball and volleyball games players if there were significant difference than the LSD post-hoc test was use to analyse the mean differences and their significance. For testing the hypothesis the level of significance was set at 0.05. We find out a significant difference between cricket, throw ball and volleyball games players in their body mass index. Body mass index of volleyball games players is low in comparison of two other games players.

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 Keywords

Keywords: BMI, Cricket, Throw ball, Volleyball

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Due to 9/11 incident and lack of intensive knowledge of the Quran; Islam becomes the controversial religion throughout the world and particularly in the west. So, there is a notion that Islam is a religion of fundamentalism, promotes terror. We have to counter this argument by having a look on "Islam on religious tolerance and pluralism". Apparently, there seems a contradiction about "Islam on religious tolerance and pluralism", but if we go deep into this concern, we find many verses of the Quran which signifies that Islamic perspective on "religious tolerance and pluralism" is so vast will accommodate a universe in itself. The root word of Islam is "salima or salama", which implies peace, protection and safety etc., it denotes to seek peace, to promote peace and to live in peace. Islam does not discriminate people on the basis of colour, caste, sex, region and religion etc. Quran states:

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 Keywords

The Quran, Human kind, Pluralism, Unity, diversity and co-existence.

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Creative Commons Attribution 4.0 and The Open Definition