Volume 10 | Issue 12

 Abstract

The perfect, accurate and robust detection of the audio has been widely grown as the speech technology in the area of audio researches, audio forensics, speech recognition, and so on. However, in real time, it is a challenge to deal with the massive data arriving from distributed sources. Thus, the study introduces a method that effectively deals with the data from the different sources using the audio classification method. This method uses anywhere for our general purpose projects, Voice services are rapidly gaining popularity, with the use of virtual assistants such as Siri, Alexa, and Google Assistant becoming increasingly common. These systems rely on audio classification to understand and respond to user requests. Audio classification is the process of using machine learning algorithms to classify audio data into different categories or classes. This is a crucial component of voice services, as it allows the system to understand and interpret the user's spoken words

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 Keywords

Audio classification, Voice-based services, Voice recognition, Speaker identification, Natural language processing, Speech recognition, Language translation, Machine learning, Artificial intelligence, Human-computer interaction

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Exodontia or extraction of the tooth is defined as the painless removal of the entire tooth or the root with minimum trauma to the investing tissues, so that the wound heals normally and no postoperative prosthesis problems arise. A proper History of the patient is necessary before extraction for evaluating the patient. Many systemic diseases have direct or indirect relation with Exodontia. So, it is necessary for the practitioner to understand the indications, contraindications and management of the patient in case of emergency of these patients during extraction. The survey is conducted among the undergraduate students.

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Anticoagulant therapy, complications, Extraction, oral manifestations, oral-systemic connection.

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Machine learning is an emerging technique for building analytic models for machines to "learn" from data and be able to do predictive analysis. The ability of machines to "learn" and do predictive analysis is very important in this era of big data and it has a wide range of application areas. For instance, banks and financial institutions are sometimes faced with the challenge of what risk factors to consider when advancing credit/loans to customers. For several features/attributes of the customers are normally taken into consideration, but most of these features have little predictive effect on the credit worthiness or otherwise of the customer. Furthermore, a robust and effective automated bank credit risk score that can aid in the prediction of customer credit worthiness very accurately is still a major challenge facing many banks. In this paper, we examine a real bank credit data and conduct several machine learning algorithms on the data for comparative analysis and to choose which algorithms are the best fit for learning bank credit data. The algorithms gave over 80% accuracy in prediction. Furthermore, the most important features that determine whether a customer will default or otherwise in paying his/her credit the next month are extracted from a total of 23 features. We then applied these most important features on some selected machine learning algorithms and compare their predictive accuracy with the other algorithms that used all the 23 features. The results show no significant difference, signifying that these features can accurately determine the credit worthiness of the customers. Finally, we formulate a predictive model using the most important features to predict the credit worthiness of a given customer.

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Machine Learning algorithms

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 Abstract

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Neural Networks, Skin Melanoma Detection

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With the popularization of automobile and the progress of computer vision detection technology, intelligent license plate detection technology has gradually become an important part of intelligent traffic management. License plate detection is used to segment vehicle image and obtain license plate area for follow-up recognition system to screen. It is widely used in intelligent traffic management, vehicle video monitoring and other fields. In this paper, two license plate detection methods are studied, one is based on Sobel edge detection and the other is based on morphological gradient detection. Basing on OpenCV and PYTHON under Windows system, two methods of license plate detection are implemented, and the two algorithms are compared in detail from the aspects of license plate detection accuracy. These methods have high efficiency and good interactivity, which provide a reference for later license plate recognition.

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Image Processing, OPENCV, Number Plate Detection

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 Abstract

Aim and objectives: - To investigate the sample rejection rate of pre analytical errors in a clinical laboratory tertiary care centre. To identify the types, frequency of pre analytical error and to detect the percentage of pre analytical errors. Materials and methods: - This was the retrospective analytical study by collecting the data over the period from November 2020 to February 2022 at clinical biochemistry laboratory at Mahatma Gandhi Medical College and Research Institute. Data analysis was done on samples were received and tested which includes sample like blood, urine and other fluids. Types of errors were as follows: - inappropriate labelled samples, improper collection tubes, clotted sample, hemolysis, insufficient volumes, lipemic samples. Results: - Out of 2,39,327 total samples received from both OPD and IPD, 891 samples were found to be unsuitable for further processing. The majority of the sample rejected due to hemolysis (43%), the second most frequent pre analytical error encountered in insufficient volume (21%), clotted sample (16.2%), mislabelling of samples by the laboratory personnel was seen as caused of rejection is 9.9%, lipemic samples were also rejected is 5.3%, inappropriate container accounted for faulty results in 3.3% of samples. Conclusion: - The concept of TQM encompasses all the steps involved in sample processing, beginning from test ordering to the final interpretation of results by clinicians to reduce or eliminate the errors that may rise during various steps. The dependence on accurate lab results for diagnosis makes it mandatory for labs to ensure accountability and accuracy of results for diagnosis as a consequence of faulty reporting.

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Key words: Preanalytical errors, Covid-19, Total Quality Management, Total testing Process, Turnaround Time.

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Using renewable types of energy and Electric Cars (EVs) can reduce energy prices and minimize radiation to a substantial extent. The intermittent nature of renewable energy sources and their sporadic use, integrating renewable energy sources into the electric grid is a challenging process. If the supply of renewable energy is not adequate to fulfill the requirement, it is expensive to pull more energy from the power grid. This may also reduce the energy efficiency of the charging process. The focus of this study is to present methods for optimizing a controller for the charging of electric vehicle batteries using renewable energy sources for energy management. The output of the Dynamic Programming optimization and a variety of other approaches used in energy optimizing software are compared to determine which one would accurately minimize the cost of energy required for charging and yet fulfill the aggregate battery charge maintaining criteria. Based on this study it is evident that the Dynamic Programming based optimization strategy provides the highest level of accuracy while maintaining a consistently high level of fuel savings in EVs.

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Electric Cars, Battery, Electric Vehicles, Dynamic Programming, Renewable Energy Sources

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Polycystic ovary syndrome is a heterogeneous disorder. It is caused due to chronic anovulation. The symptoms of this PCOS disease occurs during the puberty years. Both normal female pubertal development and pcos are characterized by irregular menstrual cycle, anavulation and acne. Olegomenorrhea (less than 9 period for year) and Amenorrhea (no menustrual period for at least six months) are features of PCOS and can be regarded as' 'as risk for PCOS'.so there are some medication for management of PCOS disease such as progestin therapy, spironalactone, clomiphene, letrozole , Gonadotropins,Eflornithin.

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Menstrual Cycle, Anovulation, Olegomenorrhea, Amenorrhea, Hyperandrogonism.

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 Abstract

The concept of fast dissolving drug delivery system emerged from the desire to provide patient with more conventional means of taking their medication. It is difficult for many patients to swallow tablets and hard gelatine capsules. Hence, they do not comply with prescription, which results in high incidence of non-compliance and ineffective therapy. In some cases such as motion sickness, sudden allergic attacks or coughing, swallowing conventional tablets may be difficult. Such problems can be resolved by means of orodispersible tablets. These tablets disintegrate and dissolve rapidly in mouth. Hence no need to swallow the dosage form, which is highly convenient feature for patients. Hence preparing orodispersible tablet would provide a rapid action during these physiological conditions which may occur any time and a quick therapy being required for them.

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Conventional, orodispersible, tablet, disintegrate, dissolve rapidly

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This article examines the factors driving and hindering Indian foreign labor to Malaysia, especially in Subang, Selangor. The arrival of foreign workers to this country from the British era until now has never stopped. The influx of foreigners into this country is evident in economic sectors such as the agricultural sector in the colonial era and now for all sectors. Without foreigners, Malaysia's economy cannot be driven at the present time, especially in some sectors such as the plantation, construction, and fishing sectors. The need for foreign labor in this country's economic sector is very important.

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Foreign labor, Indian labor, Economic sector, Obstructive factors, Driving factors

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HPLC, Azilsartan Medoxomil and Cilnidipine

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In cloud computing public and private sectors are spending a large element in their price range to defend the confidentiality, integrity, and availability in their facts from possible attacks. Among those attacks are insider attacks that are greater critical than outdoors attacks, as insiders are certified clients who've respectable get proper of access to to sensitive property of an organization. As a result, limitless studies exist with inside the literature aimed to decorate techniques and system to take a look at and stop a number of sorts of insider threats. A unified type model is proposed to categorize the insider chance prevention approaches into lessons biometric-primarily based totally and asset-primarily based totally metric. The biometric-primarily based totally elegance is moreover categorized into physiological, behavioral and physical, even as the asset metric based elegance is moreover categorized into host, network and combined. This type systematizes the reviewed techniques which can be proven with empirical consequences and it shows widespread theoretical and empirical factors that play a key characteristic with inside the effectiveness of insider chance prevention approaches which includes contrast.

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Cloud Computing, Security and privacy, Insider threat prevention, Evaluation Metrics,IBAC

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The main objective of this project is to develop a home automation system using an Arduino board with Bluetooth being remotely controlled by any Android OS smart phone. As technology is advancing so houses are also getting smarter. Modern houses are gradually shifting from conventional switches to centralized control system, involving remote controlled switches. Presently, conventional wall switches located in different parts of the house makes it difficult for the user to go near them to operate. Even more it becomes more difficult for the elderly or physically handicapped people to do so. Remote controlled home automation system provides a most modern solution with smart phones. In order to achieve this, a Bluetooth module is interfaced to the Arduino board at the receiver end while on the transmitter end, a GUI application on the cell phone sends ON/OFF commands to the receiver where loads are connected. By touching the specified location on the GUI, the loads can be turned ON/OFF remotely through this technology.

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Arduino, Home Automation, Bluetooth, Smart Phone, Relay

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Knee osteoarthritis, hip muscle strengthening, hip muscle weakness, Numerical Pain Rating Scale (NPRS), pain pressure threshold (PPT), WOMAC Scale.

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A slight film is a layer of material running from parts of a nanometre (monolayer) to a couple of micrometres in thickness. The controlled blend of materials as humble motion pictures (a strategy insinuated as proclamation) is a significant step in various applications. A notable representation is the nuclear family reflect, which conventionally has a slight metal covering on the rear of a sheet of glass to shape a shrewd interface. The strategy of silvering was once commonly used to convey mirrors,while even more actually the metal layer is put away using frameworks, for instance,faltering. Pushes in small film oath methodologies in the midst of the 20th century have engaged a broad assortment of imaginative jumps forward in ranges, for model, electronic semiconductor devices, LEDs, optical coatings such antireflective coatings), hard coatings on cutting mechanical assemblies, and for both imperativeness time (for example pitiful film sun controlled cells and limit (wobbly film batteries). It is similarly being associated with drugs, through thin film drug movement.

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Mechanical properties, Factors , Developmental Example

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There exists many tools that help painting in real life but painting or drawing by making hand gestures in air and by voice commands is relatively a new and exciting approach. It provides the user with a dust free environment to draw and illustrate his thoughts to the recipient. The virtual paint is developed using libraries of python like OpenCV, MediaPipe and speech recognition module which act as a backbone of Augmented reality. This program uses hand gestures and speech command from the user to interpret his thoughts on desktop screen.

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Python, Mediapipe , OpenCV,Hand Gesture Recognition,Voice Commands ,Augmented Reality

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Concrete is strong in compression but weak in tension and brittle extra. As immediately cracks start to appear because of where the concrete is, though., which causes a host of health problems. Waste tea ash can be utilized effectively as an alternative option for cement replacement in concrete. The consequences of PWTA insertion on concrete houses are discussed in this paper. PWTA is used in different percentages mix in manufacturing of paver blocks.M35 grade of paver block is designed and tested. The results of the Strength properties of PWTA in paver block is provided in this observation

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Exploitation, Manufactured Self-Respect, Prostitution, Pseudo Traditional Rules

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In the present investigation of leaves of Musa paradisiaca L., and Carica papaya L., we found a clear pronouncement between them instead they are monocots. In leaves epidermis present both side upper and below adaxial epidermis (upper) and abaxial epidermis (below). Only spongy mesophyll cell are present in the leaves. A parenchymatous bundle sheath is present around the vascular bundle. These anatomical differences helps us to understand the structural adaptations of the monocot plant leaves with respect to diverse environmental conditions. We hope this study will be a key player for further investigations on these plants for medicinal and nutraceutical properties.

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vascular bundle (xylem and phloem), epidermis, aerenchymatous, Carica papaya, Musa paradisiaca

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