Volume 11 | Issue 1 |

 Abstract

Lung cancer is one of the deadliest types of cancer; thousands of people are infected with this type of cancer, and if it is not detected in the early stages of the disease, then the patient's chance of survival will be very small. For the above reasons and to help overcome this terrible early diagnosis with the help of artificial intelligence procedures are most needed. It is also one of the most common and contributing to death among all cancers. Cases of lung cancer are increasing rapidly. There are about 70,000 cases a year in India. In the past decade, cancer detection using deep learning models has been a hot topic, especially in medical image classification. It is worth noting that CNN models are more advanced in dealing with the diagnosis of diseases such as lung cancer due to the higher performance and capabilities of CNNs. This system presents an approach that uses a convolutional neural network (CNN) to classify tumors located in the lungs as malignant or benign. The accuracy obtained by CNN is 99%, which is more efficient compared to the accuracy achieved by traditional existing systems. This is done by applying a convolutional neural network technique to a dataset of lung cancer CT scans.

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 Keywords

lung, computed tomography, convolutional neural network, detection, classification

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In the present dynamic financial service environment the role of E-banking occupies a significant position .The post banking sector reforms have transformed the entire banking sector. The emergence of technology in the banking services has made anywhere any time banking. The e banking services has enabled customer to have financial services at their fingertips .It is in this context that the present research paper attempts to analyze the role of E banking towards customer satisfaction and the employees perception in Public and Private Sector Banks in India with reference to Prayagraj District of Uttar Pradesh The present study is based on Primary and Secondary sources . The data indicated that the perception of customer regarding service quality and satisfaction of employee in internet banking services. The present study also attempts to make a comparison between Public and Private sectors banks in respect of SBI and HDFC bank. The findings of the study reveal that the sample respondents have more s account with private banks. The problem faced by the respondents were more in public sector banks. The analysis indicated that the sample respondents were of the view that the employees of the sample banks should have a change in the behavior of the staff of the public sector banks The respondents were more satisfied from the private sector banks due to their better services provided by them. The facility that was availed by most of the people at private sector banks was that of Internet/ Phone banking by ATM/Debit card.

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 Keywords

; e-banking, consumer, internet banking, knowledge management

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According to a recent WHO report, about 450 million people are affected by mental, neurological and behavioural problems in their lives and among these 873,000 people die of suicide every year with mental illnesses. People with mental disorders usually suffer from social isolation, poor quality of life and has an increased change for mortality (WHO report, 2005). Mental illnesses have been found to be precipitated with chronic conditions of cancer, cardiovascular diseases, diabetes and AIDS.

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A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING ON KNOWLEDGE REGARDING IDENTIFICATION AND PREVENTION OF SUICIDE AMONG CAREGIVERS OF MENTALLY ILL PATIENT IN SELECTED HOSPITALS AT MEERUT

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Pharmacists for starters want to expand their dispensing services they want to give patients better and more frequent advice on how to use prescribed medications. Patients will benefits for from the development of domicile any services , particular in terms of collecting and delivering prescriptions for the elderly, mentally ill, and physically disabled. Health is a word very known but it carries a lot of complications and troubles. According to the WHO, health is a state of complete physical, mental and social well-being and not merely absence of any illness. Health care system depends upon a health care team. A health care team is the group of community who contribute to a common health goal and common objectives determined by community needs. India with the greatest cultural diversity, health though an important issue is being neglected due to many hindrances. The condition is more worsened due to inappropriate drug use problems. It is in the hands of the pharmacist particularly the community pharmacist, to take up the challenge for providing better health care and better outcomes reasonably.

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Akkamahadevi Mattu Honnammara Druttiyalli Kutumba-Dampathya

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Akkamahadevi Mattu Honnammara Druttiyalli Kutumba-Dampathya

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The use of images to identify people has become commonplace thanks to the media. It is less resistant to retinal scanning or fingerprint detection, though. The face is described in this report and find in the database using a machine learning project carried out for the module on visual perception and autonomy. The basic emotions that all people experience are universal and are consistently expressed on their faces. Here, an algorithm is described that carries out the detection, extraction, and evaluation of various facial expressions enabling, automatic identification of human emotion in pictures and videos. It outlines the technologies offered by the OpenCV library as well as the process for putting them into practise with Python. Haar-Cascades were utilised for face detection, and Eigenfaces, Fisher faces, and local binary pattern histograms were displayed here for face identification.

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 Keywords

Input Face, Face Detection, Face Recognition, classification, Identify the Face.

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Data analysis and exploration are necessary for machine learning in order to identify significant trends and patterns. Everyone on Earth relies on allopathic therapies and medications in the modern era. Medical datasets can benefit from machine learning techniques since they offer a wide range of opportunities for both textual and visual data. Data mining is the key to extracting insight from these voluminous, enigmatic data that are present in medical services. This paper presents an API for prescribing medications to users with a certain ailment, which would also be diagnosed by the framework through the analysis of the user's symptoms using machine learning techniques. Here, we make use of some insightful data pertaining to the mining process to identify the most precise illness that may be associated with symptoms. The condition is easily identifiable by the sufferer. Patients may clearly identify their disease by merely attributing their symptoms, and the program interface indicates what disease the user may be infected with. The framework will show complacency in urgent instances where the patient cannot go to a doctor's office or in circumstances where professionals are available in the area. By considering numerous features in the database, predictive analysis on the illness would be carried out, leading to the recommendation of drugs to the user. The outcomes of the experiment can also be applied to healthcare tools and future research.

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 Keywords

Machine learning, Drug recommendation, knowledge base, Logistic Regressions, symptoms, Support Vector Machine, Disease Predictions.

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Steganography is a technique for concealing sensitive information inside of cover image. In order to prevent detection, this technique involves concealing biometric within a cover image. When someone views an image that contains secret information, they are unaware that it contains any such information. The project offers a very basic application that, by concealing communication, makes the manual labour easier. We printed out information about the project's image steganography technology, which uses the PSO methodology and the EMD method to enable secure communication. In order to guarantee that embedded information can securely defend against attacks, efforts to improve robustness and embedding capacity are required. The user will find this program to be incredibly convenient and time-efficient.

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Steganography, Information Embedding, Robustness, Double Encryption, Particle Swarm Optimization(PSO), Exploiting Modification Direction(EMD).

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lactodyne toothpaste, triclosan

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Analytical method development and validation play important roles in the discovery, development and manufacture of pharmaceuticals. Method development is the process of proving that an analytical method is acceptable for use to measure the concentration of an active pharmaceuticals ingredient in specific compounded dosage form which allows simplified procedure to be employed to verify that an analytical procedure accurately and consistently will deliver a reliable measurement of an active ingredient in an compounded dosage form.

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