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1958 articles for “N” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Selection of Cluster Head in Wireless Sensor Network towards Extending Network Life Time
Abstract: Reduced energy consumption and extended lifetime are basic requirements of Wireless Sensor Network (WSN) with distributed nature and dynamic topological changes. The motes are arranged in clusters and only one mote is chosen as cluster head to synchronize and data routing. The proposed work introduces an innovative approach of choosing cluster head in artificially intelligent wireless sensor network. In the proposed work, the residual energy consumption plays the major role …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Effect of concentration of Halloysite nanotubes on the Mechanical, Thermal and electrical properties of NBR/PP Elastomer nanocomposites
Abstract: Preparation of nanocomposites from immiscible polymer blends system has been investigated in this work. Natural clay named halloysite nanotubes are incorporated in the immiscible blend system using melt mixing process to prepare halloysite based nanocomposites comprising of PP/NBR blend system. FTIR studies have been carried out to establish the structure properties relationship. Nanocomposites are characterized by SEM for morphological studies. The thermal stability of nanocomposites has been evaluated by TGA …
Published in Journal of Polymer & Composites · Vol. 8, Issue 2, 2020 · pp. 62–67 Read article
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Facile Fabrication and Characterization of Novel Sterculia Gum–graft-poly(n-isopropylacrylamide-co-acrylamide) Hydrogel for Efficient Removal of Cationic Dyes from Aqueous Solution
Abstract: Water is indispensable component of life. Contamination of water is a severe problem that affects human health, aquatic vegetation, and fauna. Aside from various effluents, a variety of cationic dyes generated by industrial effluents contributes significantly to water contamination. In this study, a sterculia gum graft-poly(n-isopropylacrylamide-co-acrylamide) hydrogel was made using a graft copolymerization technique with N,N′-methylene-bis-acrylamide as a crosslinker, ammonium persulphate as an initiator, and tetramethylethylenediamine as an accelerator to …
Published in Journal of Polymer & Composites · Vol. 10, Issue 2, 2022 · pp. 29–59 Read article
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Design and Arduino Implementation of Artificial Neural Network Based Intelligent Power Management System of Bangladesh
Abstract: The research contrivance is to maintain and control load detachment or shedding in local distribution area and also utilize different types of power generation units such as conventional and non-conventional energy sources. The artificial neural network will anticipate, predict and exploit idea when generation is insufficient to meet the load demand. If the demand for the load is more than a generation, the artificial neural network will acknowledge the specific …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 3, 2017 · pp. 17–29 Read article
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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A Novel Approach for Detection and Prevention of Malicious Nodes in Mobile Ad Hoc Network
Abstract: AbstractIn current years, the mobile ad hoc network (MANET) plays an essential part in networking research environment for sharing information from one to others. It works in the distributed situation and changes the topology very frequently because of its dynamic nature. In our work, we proposed the secure path by calculating the trust of each node in the network. Trust computation is one of the most significant tasks for communication, …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 7–12 Read article
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Effect of Transcranial Direct Current Stimulation (tDCS) in Somatosensory Evoked Potential (SSEP) in Normal Adolescents
Abstract: tDCS is a noninvasive brain stimulation technique in which a mild electrical direct current is applied through the scalp to send electrical impulses to the brain to increase or decrease the excitability in the neurons. Weak transcranial direct current stimulation can induce long lasting changes in cortical excitability. The electrodiagnostic approaches like Motor Evoked Potentials (MEP), Somato Sensory Evoked Potential (SSEP) and electromyography are used to measure the effect of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 2, 2013 · pp. 1–8 Read article
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Opportunistic Network Environment: A Multipurpose Simulation Tool for Wireless Networks
Abstract: In this paper, ONE simulator and its working is discussed with some practical examples. How to practically use ONE simulator is described in easy and proper manner. ONE is a wireless simulator used to simulate different wireless networks. In this simulator, different routing protocols, different attacks occurred in routing protocols can be implemented. Energy analysis congestion control can also be implemented in this simulator. This simulator is open, accessible, easy-to-use …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 30–34 Read article
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A New Approach to Reduce Guassian Noise in Images using Fuzzy Logic
Abstract: The quality of an image in any image processing algorithm plays a vital role as the quality of image is a primary thing. There are several techniques employed to enhance the quality of the image. Few techniques are applied to all images irrespective of the noise and few are employed to reduce particular type of noise present in the images. In this paper a new method is used for the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 7–11 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Petroleum and The Nigerian Economy (1999–2007): Between NEO-Colonialism and Domestic Collaborators
Abstract: This paper analyzes the state of the petroleum sector and its impact on Nigerian economy from 1999–2007. The manner in which the sector was managed attracted a wide range of comments on the rationale for the administration’s handling of the petroleum industry. Between 1999 and 2007, President Obasanjo’s Government failed to reposition the Nigerian oil sector in such a way that it will benefit all Nigerians. Instead, the administration opened …
Published in Journal of Offshore Structure and Technology · Vol. 1, Issue 2, 2014 · pp. 8–14 Read article
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Levels of Essential and Non-essential Metals in Garlic (Allium sativum L.) Samples Collected from Different Locations of East Gojjam Zone, Ethiopia
Abstract: User 14.00 The concentrations of essential metals (Na, K, Ca, Mg, Fe, Zn, Mn, Cu, Co and Ni) and non-essential metals (Cd and Pb) in garlic samples were determined using flame photometer for Na and K, and flame atomic absorption spectrometry (FAAS) for the rest of the metals. The samples were collected from four agricultural areas (Debre Markos, Dejen, Bichena and Debre Werk), East Gojjam Zone, Ethiopia. Wet digestion method …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 5, Issue 3, 2014 · pp. 10–19 Read article
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Herbal Coxibs: Nature’s Aspirin
Abstract: Pain is part and parcel of most health conditions from joint disorders to cancer. This explains why several researchers were hooked on to unraveling the deep puzzle behind the pain mechanism and finding a better way to relieving it with medicines that went far beyond killing pain alone. When a landmark outcome emerged and identified prostaglandins, the body’s chemical messengers, as the cause of inflammation, or pain, and that they …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 6, Issue 3, 2015 · pp. 13–22 Read article
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Development and Simulation of Non-Linear Gear Dynamics Model
Abstract: With the development of high-speed mechanical transmission, the dynamic characteristics of gear transmission require continuous improvement and more accurate prediction of the gear system dynamics becomes more and more important. The literature revealed that the gear pair transmission system is inherently non-linear which exhibits complex behavior and it is significant to study its vibration characteristics in detail and to analyze the influencing factors. A nonlinear dynamic model of gear transmission …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 11–16 Read article
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Optimized Adaptive Feedback Linearization Control of Wing Rock by Using Neural Network and NSGA_II
Abstract: Wing rock is one of the well-known instabilities that occur in aircraft dynamics at moderate to high angles of attack. In this phenomenon aircraft dynamics can display an oscillatory lateral behavior that manifests itself as a limit cycle known as wing rock. In this paper a new approach is introduced for designing the controller for this phenomenon which has the optimal performance while the controller is adaptive and robust against …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 1–10 Read article
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Study on CdS Nanoparticles and Nanocrystalline Thin Films Synthesized by Chemical Bath Deposition Technique
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Cadmium Sulfide (CdS) nanoparticles and nanocrystalline thin films were synthesized by chemical bath deposition technique at room temperature. The elemental composition of the as-grown CdS nanoparticles and nanocrystalline thin films were determined by energy dispersive analysis of X-rays (EDAX). Crystallite size and lattice parameter were determined from X-ray diffractogram whereas transmission electron microscopy (TEM) image gave particle size and the selected area …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 1, Issue 3, 2011 · pp. 8–15 Read article
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A Review on Nanoparticle and Its Applications
Abstract: Nanoparticles are at the forefront of the nanotechnology industry, which is developing rapidly. These particles are naturally produced by biological, geological, cosmological processes. Occur in a variety of shapes such as nanofibers, nanoreefs, nanostars, nanospheres. Nanobiosensors, molecular diagnostics, advanced imaging tools, drug transportation, artificial bioconstructs, functioning nanostructured surfaces, smart materials, and nanofluidics are a broad field of nanobiotechnology that involves the creation of nanoparticles and nanomolecules. Especially the nanoparticles are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 22, Issue 3, 2020 · pp. 1–4 Read article
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Impact of Palliative Care Intervention on Knowledge, Attitude and Practice Regarding Nursing Care Issues in Caregivers of Head and Neck Cancer Patients at Hospice
Abstract: Aim: The primary aim is to assess Knowledge, Attitude, and Practice (KAP) regarding nursing care issues in caregivers of Head and Neck Cancer (HNC) patients admitted at hospice. Secondary aim is to observe the impact of providing information and teaching skills on nursing care issues to caregivers. Materials and methods: A cross-sectional study was prospectively carried out involving 33 caregivers of hospice-admitted patients with head and neck cancer. A self-designed, …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 27–35 Read article