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56 articles for “NB”
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Navigating the Antenna Frontier for Emerging IoT Technologies
Abstract: Internet of Things (IoT) is rapidly transitioning from niche applications to a pervasive, interconnected fabric of intelligent devices, demanding unprecedented levels of performance, reliability, and miniaturization from its constituent components. At the heart of this revolution lies the antenna, the crucial interface between the digital and physical realms. This paper delves into the intricate and evolving landscape of IoT antenna design, specifically addressing the unique challenges and opportunities presented by …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Boron Nitride Nanoplatelets and Aluminium Nitride Incorporated Organic Organic Eutectic Phase Change Materials with Enhanced Thermal Conductivity with Low-Loading Nanoadditives
Abstract: Miniaturized high performance electronic appliances generate tremendous heat during the duty cycle, has led research community to explore advanced thermal management strategies. Operating electronics at high temperature may result in malfunctioning of compact appliances. Thus, phase change materials (PCM) are applied to maintain isothermal temperature by implementing phase transition through latent heat. To improve the thermal conductivity and to deduce at suitable phase transition temperature of novel eutectic PCM, nanoplatelets …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 1–9 Read article
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Characteristics of PWC-11 in Atomic Reactors
Abstract: AbstractCarbon (0.1%) addition to basic Nb – 1 Zr alloy has introduced carbide precipitation to enhance desirable properties. Precipitation hardened PWC – 11 compared to solid solution hardened Nb – 1 Zr alloys show no appreciable changes by low cycle fatigue behavior, even failure modes are also similar i.e. intergranular cracking. Selections of suitable alloys are considered for resistance to high temperature in extraterrestrial environments and resistant to radioactive neutron …
Published in Journal of Nuclear Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 37–46 Read article
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Study of Fire Safety Management for Hospitals in Amravati City
Abstract: Hospitals are considered a place of hope and offers sense of security in the aftermath of a disaster situation. Safe hospitals have symbolic social value; losing a health facility leads to a sense of insecurity and social instability. Disaster-resilient hospitals must be able to protect the lives of patients and staff and continue to function. Hospitals need to ensure structural safety, non-structural safety and functional safety. The responsibility to take …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 3, 2015 · pp. 17–16 Read article
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Preparation and Charactrization of lead free piezoelectric ceramic/PVA polymer composites
Abstract: Sodium potassium niobate (Na0.5K0.5 NbO3 ) ceramic was prepared through conventional solid state reaction using AR grade NaNO3, KNO3 and Nb2O5 in stochiometric ratio. Poly vinyl alcohol (PVA) polymer - sodium potassium niobate composite films were prepared by solution casting method by changing the blend ratio of PVA / Na0.5K0.5NbO3. The prepared samples in the form of films were characterized by powder X-ray diffraction. The XRD studies revealed the presence …
Published in Journal of Polymer & Composites · Vol. 6, Issue 1, 2018 · pp. 1–8 Read article
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Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel
Abstract: This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm- Wave) multiple-input-multiple-output (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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CRITICAL APPRAISAL OF NATURE BASED SOLUTION FOR EFFECTIVE MANAGEMENT OF GROUNDWATER IN NIGERIA
Abstract: Nature-based solutions (NBS) are stimulated and supported by nature, usage and natural processes to contribute to the improved management of water. In this study, a critical review of the groundwater resources history and management in the South western state of Nigeria was done. The aim was to identify reasons why groundwater is increasingly being exploited in recent times, and to explore ways through which the exploitation could be done sustainably …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 1–8 Read article
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Measurement of Program Outcomes Attainment for Engineering Graduates by using Neural Networks
Abstract: AbstractThis paper aims to provide an evaluation method for the attainment of program objectives for engineering graduates as defined by NBA (National Board of Accreditation). As NBA requires specific evaluation techniques and measurement methods for measuring the attainment of course outcomes, program outcomes and program educational outcomes; this paper provides a solution of the measurement techniques using neural networks. The performance of all the students of a batch can be …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 21–24 Read article
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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article
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Association between Maternal Factors and Birth Weight of Children from a Selected Village of Anand District
Abstract: Birth weight of the child is an important predictor for neonatal and infant mortality and morbidity as well as for the nutritional status of the children. There are numerous factors such as maternal physiological, biological and socioeconomic factors leading to low birth weight. A community based cross sectional study was carried out to study the association between maternal factors and birth weight of the children. About 100 mothers were selected …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 21s–24s Read article
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Safety of Ayurvedic Metal Origin Bhasma (Dhatu varga) through Acute Toxicity Studies: A Review
Abstract: Bhasma possess broad-spectrum therapeutic utility but are blamed due to frequently raising toxicity concerns. Although their safety has been evident with practice since ancient times, scientifically proven through toxicity studies, clinical safety, still comprehensive conclusive documentation is needed. Online published research articles on in vivo, oral single dose, acute toxicity studies on Bhasma of Dhatu Varga were searched through search engines and observations on behavioural, ponderal, autopsy, maximum tolerated dose …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 3, 2019 · pp. 43–50 Read article
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IS-Aligned Strategic Evaluation of Fire Protection Systems for Improving Fire Safety in Mixed-Occupancy High-Rise Buildings
Abstract: This paper presents a substantially reworked Indian-context evaluation of fire protection systems in a 14-building high-rise sample from Indore. The study reuses the original field dataset but replaces the earlier code mix with an explicitly IS-aligned and NBC-oriented analytical framework. Physical observation, document review and interview inputs were screened against requirements related to means of egress, compartmentation, fire detection and alarm, hydrants and hose reels, extinguishers, emergency lighting, smoke control, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel
Abstract: This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm-Wave) multiple-input-multipleoutput (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the mm-Wave …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Breast Cancer: Susceptible Genes and Significant Risk Factors
Abstract: Breast cancer is the most common malignancy affecting women globally. In 2012, around 1.67 million new cases were reported worldwide. With the increase in life expectancy in developed countries, the incidence of breast cancer among older adults has risen significantly. In 2017, an estimated 252,710 new cases of invasive breast cancer were recorded, along with 6,341 cases of breast cancer in situ in the USA. About 24% of all breast …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 36–43 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article