Daily Archives: July 1, 2025

Authors: Ms Merlin Steffy M, Professor Dr. F. Ramesh Dhanaseelan, Associate Professor Dr. M. Jeya Sutha

Abstract: This research presents histotripsy is a non-invasive ultrasound technique used for precise tissue ablation, showing promise in treating conditions like kidney tumors. This project proposes a deep learning-based segmentation system using a Convolutional Neural Network (CNN) with a ResNet-18 backbone to identify ablated regions in ultrasound images automatically. The system is trained on phantom images and uses digital photographs as ground truth. In addition to image segmentation, the system overlays segmented zones, counts treatment pulses, and supports real-time monitoring significantly improving speed, accuracy, and clinical decision- making.

DOI: http://doi.org/10.5281/zenodo.15833637

Published by: vikaspatanker

Authors: Ms. Muskan Shaikh, Dr.Jasbir Kaur,, Mr.Suraj Kanal

 

 

Abstract: – This paper discusses the importance and advantages of big data analysis and application in social media marketing. With the popularity of social media platforms, big data analysis provides enterprises with opportunities to deeply understand user needs, optimize marketing strategies and improve marketing effects. This paper introduces the current situation of social media marketing, and expounds in detail the application of big data analysis in user portrait analysis, user behavior analysis and marketing effect evaluation. Through big data analysis, enterprises can formulate more accurate marketing strategies, improve marketing accuracy, optimize user experience and improve marketing efficiency. However, big data analysis also faces challenges such as data quality and privacy protection, which requires enterprises to pay attention to data security and compliance in the process of application.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Ms J. Alfreena, Professor Dr. F. Ramesh Dhanaseelan, Associate Professor Dr. M. Jeya Sutha

Abstract: Fingerprints are widely used in security, healthcare, and criminal investigations for identification. Slap fingerprint images, which capture multiple fingerprints in one scan, improve accuracy but are hard to process due to different angles, background noise, and small fingerprint sizes. This system includes Clarkson Rotated Fingerprint Segmentation that accurately detects and labels fingerprints using bounding boxes. It performs better than traditional systems like National Fingerprint Segmentation, handling rotated images effectively and feature extraction with the Canny edge detection algorithm to accurately detect fingerprint edges. These advancements reduce errors, improve real-time scanning, and enhance fingerprint security systems. This makes fingerprint recognition more accurate and adaptable across different conditions.

DOI: https://doi.org/10.5281/zenodo.15833678

Published by: vikaspatanker

Authors: Assistant Professor Ajay Kumar

Abstract: CRISPR/Cas9 genome editing has revolutionized plant biotechnology by enabling precise, efficient modifications to target genes associated with stress tolerance. This paper reviews current advances in CRISPR/Cas9 applications for enhancing abiotic (drought, salinity) and biotic (pathogen) stress resistance in major crops. We first outline the molecular mechanism of the CRISPR/Cas9 system and delivery strategies in plants. Next, we examine key case studies: OsERA1 and OsDST edits for drought resilience in rice (Ogata et al.), ARGOS8 modification in maize (Shi et al.), SlHyPRP1 disruption for salt tolerance in tomato (Tran et al.), and powdery mildew resistance via TaMLO and PMR4 edits in wheat and tomato (Wang et al.; Santillán Martínez et al.). We then discuss methodological challenges—off-target effects, regeneration efficiency—and regulatory frameworks governing genome-edited crops. Finally, we explore future directions, including multiplex editing, transgene‐free approaches, and integration with computational tools to accelerate breeding programs. Our synthesis highlights CRISPR/Cas9’s transformative potential for sustainable agriculture under climate change.

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Authors: Assistant Professor Ajay Kumar

Abstract: This study aims to document and analyze the traditional use of medicinal plants among three indigenous communities, integrating ethnobotanical knowledge into broader conservation and pharmacological frameworks. Field surveys were conducted in each community’s natural habitat, complemented by ninety semi-structured interviews with traditional healers and elders. Guided transect walks facilitated in-situ identification and GPS mapping of specimens, which were then authenticated and deposited as herbarium vouchers. Quantitative analyses employed Use Value (UV), Informant Consensus Factor (ICF), and Fidelity Level (FL) indices to assess species importance and consensus. In total, 212 medicinal plant species across 78 botanical families were recorded. The most-valued taxa, notably members of Fabaceae and Lamiaceae, exhibited high UV scores (≥0.65), while gastrointestinal remedies showed the strongest agreement among informants (ICF = 0.89). Five flagship species demonstrated fidelity levels above 80 percent, indicating specialized therapeutic roles. These findings underscore the richness and specificity of indigenous pharmacopoeias, offering critical insights for targeted phytochemical investigations. By highlighting culturally salient species and consensus patterns, this research contributes to in situ conservation planning, supports community-led knowledge preservation, and identifies promising candidates for drug-development pipelines.

Published by: vikaspatanker

Authors: Dr. Manish Singh

Abstract: B2B content marketing is the practice of using content to promote markerters'product or services to a business audience. It involves producing high-quality content that appeals to and/or addresses major pain points of B2B consumers. This may be in the form of blog posts, infographics, case studies, white papers, tutorials and educational videos among many others. Additionally, B2B content marketing requires strategically distributing content to reach marketers’' target audience. It goes hand in hand with your social media content strategy where you share links and visuals to attract the right people. Email, organic search and paid ads are other popular distribution channels included in a B2B content marketing strategy.

DOI: https://doi.org/10.5281/zenodo.15783227

Published by: vikaspatanker

Authors: Assistant Professor Ajay Kumar

Abstract: The accelerating rise in atmospheric carbon dioxide (CO₂) concentrations has intensified efforts to enhance terrestrial carbon sinks, particularly through strategic deployment of C₃ and C₄ photosynthetic pathways. This study synthesizes current knowledge on the carbon sequestration potential of C₃ plants, which benefit markedly from CO₂ enrichment but suffer from photorespiration and nutrient constraints, and C₄ plants, which maintain efficiency under heat, drought, and low CO₂ conditions due to their biochemical CO₂-concentrating mechanism. We review field-based flux measurements, remote sensing classification, and genome-scale metabolic models to quantify net primary production responses, soil carbon inputs, and distributional shifts under projected climate scenarios. Findings indicate that C₃ afforestation can maximize sequestration in temperate regions when nutrient limitations are managed, while C₄ bioenergy crops offer robust carbon capture and water-use advantages in warmer, water-limited biomes. We recommend region-specific species selection, integrated methodological frameworks combining eddy-covariance, high-resolution imagery, and mechanistic models, and exploration of synthetic biology and machine-learning tools to refine sequestration estimates. This comprehensive approach informs land-management and policy strategies aimed at mitigating climate change through optimized carbon-negative land uses.

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Authors: Mr. Rohit Daundkar, Mr. Kaustubh Shirke, Dr. Jasbir Kaur, Assistant Professor Mr. Suraj Kanal

Abstract: Skin cancer is a prevalent form of cancer, and its early and accurate identification is critical for effective treatment. In this research paper, using an ensemble of fine- tuned Efficient Net models we proposed an improved approach for skin cancer classification. Our methodology incorporates data augmentation techniques to augment the dataset size, fine- tuning of the Efficient Net model by unfreezing the last few blocks, and employing an average ensemble for enhanced classification accuracy. The proposed approach when compared with other related work proved its effectiveness by outperforming them. Furthermore, our proposed ensemble method shows a precision value of 0.990, and accuracy of 0.988. Our findings demonstrate the effectiveness of the proposed methodology and its potential to significantly improve the diagnosis and treatment of skin cancer.

DOI:

 

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Authors: Dr. Mainka Saharan, Mainka Saharan, Prince Kumar, Anuj Sharma, Sonu Kashyap, Yash Saxsenad

Abstract: Hate speech on social media has become a critical issue, posing a threat to societal harmony and individual well-being. As online platforms have become integral to communication, the dissemination of hateful and offensive language is increasingly unchecked, necessitating automated systems to detect and mitigate its impact [1][3]. This project aims to develop an automated hate speech detection system using advanced deep learning techniques, specifically the DistilBERT model, a lightweight transformer architecture known for its efficiency and accuracy [2][9]. The system categorizes textual content into three distinct classes: hate speech, offensive language, and neutral speech [1][4]. By employing comprehensive preprocessing methods to clean the text and leveraging tokenization to capture semantic meaning [1][6], the model is fine-tuned on a labeled dataset and achieves a test accuracy of 90.5%. The proposed system is designed for scalability and real-time deployment, addressing the challenge of moderating the vast amount of user-generated content on social media [5]. This study highlights the importance of using robust transformer models to analyze linguistic nuances, ensuring accurate classification even in complex and implicit cases of hate speech [9][2]. The project’s contributions include the development of a deployable application, introduction of data balancing techniques, and an evaluation of various preprocessing and modeling approaches [1][4].

DOI: http://doi.org/

 

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Authors: E.Bhaskaran, S.Baskara Sethupathy, Harikumar Pallathadka

Abstract: The study on Zero Defect and Zero Effect for MSMEs leads to getting bronze, silver and gold certification. The objective is to study on 20 ZED parameters performance for 40 Automotive Components Manufacturing Enterprises at Tirumudivakkam. The methodology adopted is getting 5-point scale data and analysing using business analytics / artificial intelligence techniques like descriptive analysis, correlation analysis, predictive analysis and decision analysis using Difference in Difference method and Technical Efficiency where Traditional is considered as Control Variable and AI + Robotics implementation is considered as Treated Variable. To conclude technical efficiency of traditional and AI + Robotics are calculated and found that the Technical Efficiency of AI + Robotics implemented is greater than Technical Efficiency of Traditional one. It is also found that Measurement and Analysis is ranked as No.1, Risk Management is ranked as No.2, Human Resource Management is ranked as No.3, Product Quality & Safety is ranked no. 4, Quality Management is ranked no. 5, waste management and Technology Upgradation is ranked no. 6 , Occupational Safety is ranked no. 7, Timely delivery, Daily works management and Material Management is ranked no. 8, Natural Resource Conservation is ranked no. 9 and Leadership, Planned Maintenance & Calibration, Environment Management and Supply Chain Management is ranked no.10. The remaining 3 parameters like the swach work place ranked no. 11, Process Control ranked no. 12 and Energy Management ranked no. 13 needs improvement in DID score so that the overall performance of Automotive Components will improve and also all will get 3 certifications like bronze, silver and gold.

DOI: https://doi.org/10.5281/zenodo.15813467

Published by: vikaspatanker