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1979 articles for “identified” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Bioremediation Potential: Discovering Naphthalene-Degrading Microbes in Iraqi Contaminated Soil
Abstract: A polycyclic aromatic hydrocarbon, napthalene is an environmental contaminant with a slow rate of disintegration. Biological treatment by microbes present in contaminated places is the most important of the several approaches applied to remove it from the environment. At depths of 5 to 10 cm, soil samples were collected from areas polluted by oil near the Al-Dora and Sheikh Omar refineries. Nutrient agar was cultured with 0.1 ml of each …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 32–41 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Impact of Various Front-line Hypertensive medication on Blood Pressure Control During Maximum Exercise Testing in Coronary Artery Disease Patients
Abstract: It has long been known that blood pressure (BP) and cardiovascular morbidity are related. It is acknowledged that blood pressure during activity may serve as a more reliable indicator than resting blood pressure, which might not accurately reflect blood pressure at other times. Goals: 1) To assess how blood pressure behaves during physical activity in individuals with coronary artery disease (CAD) whose hypertension is managed with first-line antihypertensive medications. 2) …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 37–41 Read article
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A review of the employing of Wavelet transforms and Classifier Artificial intelligence (AI) methods for detecting power transmission difficulties
Abstract: Power systems use large interconnections to transmit and distribute electric power. For power transmission, the same voltage levels are used for minimum transmission losses. During power transmission faults may occur due to natural events such as lightning, strong wind, fire etc. Faults may occur between phase conductors to ground or between the phase conductors. Transmission line protection has been performed using the comparison of voltages and currents and activates the …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 36–41 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Yoga Posture Detection and Correction
Abstract: Our project introduces a pioneering method for enhancing yoga practice through real-time pose correction, utilizing cutting-edge computer vision technology. Originating in India 5000 years ago, yoga offers profound benefits for both body and mind, yet with the modern lifestyle's increasing stress levels, its popularity has surged globally. While various avenues exist for learning yoga, including classes at yoga centers and self-learning through books and videos, many individuals struggle to identify …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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INFLUENCE OF ASPECT RATIO, GEOMETRIC CONFIGRATION AND CONTINUTY ON SHEAR WALL PERFORMANCE
Abstract: This study investigates the dynamic behavior of shear walls in high-rise buildings, focusing on the impact of varying parameters like aspect ratio, geometry, and continuous-discontinuous structures. By accurately identifying and quantifying various loads and conducting comprehensive structural analysis. The high-rise complex features reinforced concrete shear walls designed to resist lateral forces, ensuring safety and stability.This topic is chosen because the dynamic behavior of shear walls in high-rise buildings is critical …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–40 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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ANALYSIS AND DESIGN OF MODERN PARKING STRUCTURE BY CONSIDERING OPTIMISED BRACING SYSTEMS UNDER THE DYNAMIC LOAD
Abstract: The design and implementation of effective bracing systems are crucial for ensuring the structural stability and safety of G+10 parking buildings, particularly in regions prone to seismic and wind loads. This study evaluates and optimizes various bracing systems, including X-type, V-type, Inverted V-type, and Eccentric bracing, to determine their suitability for use in G+10 parking structures in the Chhatrapati Sambhajinagar City area. The research focuses on assessing each bracing system's …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 61–76 Read article
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SEISMIC ANALYSIS OF BASE ISOLATION FOR PROTECTION OF RURAL BUILDING OF DIFFERENT SHAPES
Abstract: India is a developing country, more than 50% of Indian population lives in unreinforced masonry structures. Masonry structures are vulnerable to seismic loading and load acting in it’s out of plane, hence performs poorly and sometimes leads to sudden collapse. Collapse of structure not only damages public property but also costs the lives of people. Base isolation techniques for these types of structure can be proven to be beneficial, in …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 32–43 Read article
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Interaction of Bioactive Component of Aframomum melegueta on Molecular Docking
Abstract: Computational mimicry of the structure of large complexes created by di- and poly-interaction of molecules has been termed molecular docking. The purpose of molecular docking is the prediction of the three-dimensional structures of interest, this is due to that docking only produces plausible candidate structures. The docking was carried out between the bioactive compounds against 5α-reductase, 3β-hydroxy-steroid dehydrogenase, and 17β-hydroxy-steroid dehydrogenase of returned binding energy, BE (kcal/mol) between -5.9 and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 51–60 Read article
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Phytoplankton And Zooplankton Assessment From A Pond In Bhagrana, Fatehgarh Sahib, Punjab, India
Abstract: The present study was conducted assess of Phytoplankton and zooplankton from a Pond in Bhagrana, Fatehgharh Sahib, Punjab, India. Water samples were collected on a monthly basis, from January 2020 to March 2020, using a ring type terracotta net plankton net (24 meshes/mm2 mesh size) and 50 L were filtered through it to collect plankton sample. For the qualitative analysis, plankton was identified in general. The faunal community was observed …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Antibiotic Resistance Profiles of Salmonella Isolated from Al-Gharraf River and Iraqi Sewage
Abstract: Salmonella is a Gram-negative bacterium belonging to the Enterobacteriaceae family. It has a rod-shaped (bacillus) structure. Salmonella is a prominent contributor to gastrointestinal sickness worldwide. In addition, it is the causative agent of more systemic severe disorders such as typhoid and paratyphoid fevers. Salmonella is primarily recognized as pathogens transmitted by water and food to people and animals. Salmonella is often found in water-related epidemics, even though it is routinely …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Effect of Bismuth doping on Thiourea crystals : A NLO Material
Abstract: Single crystals of pure and thiourea-substituted bismuth were successfully grown using the slow evaporation solution growth technique at ambient temperature. The impact of thiourea doping on the crystal properties was thoroughly investigated. Solubility tests for the grown samples were conducted at various temperatures, providing crucial data on the dissolution characteristics. Structural characterization of these crystals was performed using single crystal X-ray diffraction (XRD), confirming their crystalline nature. Energy-dispersive X-ray spectroscopy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 10–16 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article