Designing and developing a prediction model with an accurate stock price has been active field of research in the market for long time. On other hand, predicting movement is most critical aspect entire forecast process. While some hypotheses argue that precisely impossible, shows can be expected to extent. Stock measured if models are correctly designed, developed, refined. The Deep Learning (DL)-based Long Short-Term Memory (LSTM) Algorithm proposed this study. India's National Exchange...

Purpose: The aim of the study was to develop a proniosomal carrier system for captopril treatment hypertension that is capable efficiently delivering entrapped drug over an extended period time. Method: potential proniosomes as transdermal delivery investigated by encapsulating in various formulations gel composed ratios sorbitan fatty acid esters, cholesterol, lecithin prepared coacervation-phase separation method. formulated systems were characterized vitro size, vesicle count, entrapment,...

Despite substantial research, pancreatic cancer has a terrible prognosis by having survival rate of five years only. The premise behind early detection and better is that more people will benefit from possible treatment. In general health care, machine deep learning algorithms have shown to be viable tool classify or detect the risk cancer. As result, in this work, we looked into various researchers' methods for diagnosing using models. addition, report highlighted their achievements...

Nickel−zinc ferrite (Ni0.58Zn0.42Fe2O4) nanoparticles with an average crystallite size of about 8.4 nm were synthesized by reverse micelle technique. Bulk sample was prepared annealing nickel−zinc (NZFO) at 1473 K. Room temperature Mössbauer spectra NZFO exhibit collective magnetic excitations, while annealed (bulk) particles have the ferrimagnetic phase. At 5 K, broad shape spectral lines for in comparison to bulk provide clear evidence a wide distribution fields acting Fe3+ nuclei...

Rapid growth of WWW poses unpredictable challenges for the crawlers and search engines. Focused Crawler main aim is to selectively seek out pages that are relevant pre-define set topic rather than exploit all regions web. In this paper a review focused crawler approaches have been presented which classify in five categories: Priority base crawler, Structured Leaning Context Other crawler. There also secrecy involved protect against spamming ranking functions, thereby it rare announce or...

Jaundice in newborns is a prevalent problem all over the world. This syndrome can induce brain damage and kernicterus, which characterized by repeated uncontrollable movements, an upward gaze, hearing loss. As result, early detection treatment prevent long-term harm. this study, we have investigated several researchers' strategies for detecting jaundice among newborn babies using various artificial intelligence-based techniques. We also drawn some findings based on our analysis of multiple...

The effects of particle size, structure, microstrain, and cation distribution on magnetic property nanosized Ni0.35Zn0.65Fe2O4 prepared through high-energy ball milling have been explored by a wide variety experimental technique namely, x-ray diffraction, high-resolution transmission electron microscopy, dc magnetization measurement, Mössbauer spectroscopy. sample exhibits mixed behavior with collective state between 300 60 K while spin glasslike freezing moments has taken place below K....

Urban population in India has been rising rapidly as millions of migrants are moving to urban areas aspiring for higher earning and better living. The number poor is also growing a significant these find spaces slums continue struggle living standards. Improving their conditions call efforts from the governments policy designs. However, design requires understanding commonalities differences across within between cities. In this paper, we conduct comparative study representative three...

The Internet of Things (IoT) is bringing a new revolution in academia and research. It has penetrating roots, which are remarkable changes various domains, especially healthcare. advancements other technologies like wearable devices, sensors, cloud-based computing have led to its proliferation. IoT the transition from traditional center-based systems personalized healthcare (PHS). no wonder that such advanced robust technology associated challenges leggings increased cost, storage...

Standard Model Predictive Control (MPC) or trajectory optimization approaches perform only a local search to solve complex non-convex problem. As result, they cannot capture the multi-modal characteristic of human driving. A global optimizer can be potential solution but is computationally intractable in real-time setting. In this letter, we present MPC capable searching over different driving modalities. Our basic idea simple: run several goal-directed parallel optimizations and score...

Bladder cancer is currently the most frequent and worst in United States. Over last several decades, bladder detection therapy breakthroughs have significantly reduced its mortality. Cystoscopy treatment has been considered useful for detecting treating (BCa), but it also prone to certain complications. Hence, this study explored numerous research methodologies identifying diagnosing using AI techniques such as machine learning deep models. The paper emphasizes accomplishments challenges of...

In several industries, such as manufacturing, construction, and the automotive sector, welding is an essential procedure. Safety structural integrity are directly impacted by weld quality. Conventional inspection techniques result in inconsistencies inefficiencies because they labor-intensive, manual, prone to human error. This study uses convolutional neural networks (CNN) machine learning (ML) offer automated fault diagnosis method. Before assigning one of six categories—Good Weld, Burn...

In industrial environments, unexpected machinery failures can result in expensive downtime along with SAP AI Joule marks a pivotal advancement enterprise AI, serving as dynamic copilot that augments user productivity, enhances decision-making accuracy, and accelerates workflow automation across SAP’s cloud portfolio. By embedding generative conversational interfaces into core business applications, is redefining how users interact data processes. This review synthesizes Joule’s supported use...

Notice of Violation IEEE Publication Principles<br><br>"Artificial Neural Networks: Its Techniques and Applications to Forecasting,"<br> by A. Gupta, O. Salau, P. Chaturvedi, S. Akinola N. Ikechi Nwulu<br> in the Proceedings International Conference on Automation, Computational Technology Management (ICACTM), London, United Kingdom, 2019, pp. 320-324.<br><br> This paper has been found be violation IEEE's Principles. The author credits include Nnamdi Nwulu, who was added without his knowledge...

Abstract Nickel ferrite is a soft magnetic material with inverse spinel structure. Soft films are used in microwave devices, integrated planar circuits, etc., because of their high resistivity. In this work, thin nickel were deposited on Si (100) substrate by using pulsed laser deposition (PLD) technique. The thickness the film was measured surface profilometer and also X‐ray reflectivity (XRR). annealed at three different temperatures to observe effect structural properties film....