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Video Recommendation System Using Machine-Learning Techniques

Journal of Harbin Institute of Technology(New Series) 2024年第4期31卷 24-33页

作者： meesala sravani Ch Vidyadhari S Anjali Devi Department of Computer Science and Engineering GMR Institute of TechnologyRajam 532127Andhra PradeshIndia Department of Information Technology Gokaraju Rangaraju Institute of Engineering and TechnologyKukatpallyHydarabad 500090TelanganaIndia Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522302Andhra PradeshIndia

In the realm of contemporary artificial intelligence,machine learning enables automation,allowing systems to naturally acquire and enhance their capabilities through *** this cycle,Video recommendation is finished by utilizing machine learning strategies.A suggestion framework is an interaction of data sifting framework,which is utilized to foresee the“rating”or“inclination”given by the different *** expectation depends on past evaluations,history,interest,IMDB rating,and so *** can be carried out by utilizing collective and substance-based separating approaches which utilize the data given by the different clients,examine them,and afterward suggest the video that suits the client at that specific *** required datasets for the video are taken from *** recommender framework is executed by utilizing Python Programming *** building this video recommender framework,two calculations are utilized,for example,K-implies Clustering and KNN grouping.K-implies is one of the unaided AI calculations and the fundamental goal is to bunch comparable sort of information focuses together and discover the *** that K-implies searches for a steady‘k'of bunches in a dataset.A group is an assortment of information focuses collected due to specific similitudes.K-Nearest Neighbor is an administered learning calculation utilized for characterization,with the given information;KNN can group new information by examination of the‘k'number of the closest information *** last qualities acquired are through bunching qualities and root mean squared mistake,by using this algorithm we can recommend videos more appropriately based on user previous records and ratings.

关键词： video recommendation system KNN algorithms collaborative filtering content⁃based filtering classification algorithms artificial intelligence

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FMHADP: Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis

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Journal of Harbin Institute of Technology(New series) 2024年

作者： meesala sravani B Kiran Kumar M Rekha Sundari D Tejaswi Department of Computer Science and Engineering GMR Institute of Technology Information Technology Anil Neerukonda Institute of Technology & Science(Autonomous)

Network attack detection and mitigation require packet collection， pre-processing， feature analysis， classification， and post-processing. Models for these tasks sometimes become complex or inefficient when applied to real-time data samples. To mitigate hybrid assaults， this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature extraction. In this paper， we provide a novel multidomain feature extraction method using Fourier， Z， Laplace， Discrete Cosine Transform (DCT)， 1D Haar Wavelet， Gabor， and Convolutional Operations. Evolutionary method dragon fly optimisation reduces feature dimensionality and improves feature selection accuracy. The selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns， detect anomalies， and warn network administrators. The suggested model tackles the inadequacies of existing approaches to hybrid threats， which are growing more common and challenge conventional security measures. Our model integrates multidomain feature extraction， deep learning pattern analysis， and the forensic layer to improve intrusion detection and prevention systems. In diverse attack scenarios， our technique has 3.5% higher accuracy， 4.3% higher precision， 8.5% higher recall， and 2.9% lower delay than previous models.

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Potential of System of Rice Intensification (SRI) to Contribute to the Policy Objectives: Paradigm of Three-Tier Approach in Southern Telangana—A Case Study of Narayanpet

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Agricultural Sciences 2022年第4期13卷 542-554页

作者： Kishan meesala Suhitha Rasala Watershed Organization Trust (WOTR) Hyderabad India

A programme effort for SRI impact assessment has been undertaken in 20 project villages in the Narayanpet block. The villages have been pooled under four clusters, for which quantitative and qualitative analyses have been carried out on water usage, input cost, plant growth, farmer group collectivization, gross and net returns of SRI, and conventional paddy cultivation. The result shows that significant water saving was achieved for SRI, i.e., 8586 m3∙ha−1 under tubewell irrigation over conventional. This approximation has served as an auxiliary to the number of pumping hours and number of irrigation days that have been reduced for SRI. Less utilisation of water and distance maintained in SRI has benefited in reducing the biotic and abiotic stress caused by snails and nutrient deprivation, respectively. The total yield for a sampled number of SRI farmers has been found to have a 22% increase for the total expenditure difference of Rs. 6153, i.e., 13% less than conventional paddy farmers, which highly impacts the SRI farmers’ net income, i.e., 69% more than the conventional returns. The SRI method has a lower labour deployment of 8 people/ha than the conventional method, which requires 16 people/ha with a constant price of Rs 250/person. Input cost saving in these two categories has ranked top and has fetched maximum production efficiency among the others. The seed cost at a fixed price of 32 Rs/kg was significantly (87%) reduced for SRI as 8 kg per ha was required rather than the conventional that required 62 kg/ha. Social benefits were listed based on the qualitative analysis and were transformed using the theory of planned behaviour.

关键词： System of Rice Intensification Water Usage Productivity Plant Growth Social Environment Economic

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Hepatoprotective evaluation of Anogeissus latifolia:In vitro and in vivo studies

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World Journal of Gastroenterology 2009年第38期15卷 4816-4822页

作者： Hulikere Ananth Pradeep Saleemullah Khan Karamkonda Ravikumar Mohammed Fazil Ahmed meesala Srinivasa Rao Mandava Kiranmai Dachani Sudhershan Reddy Shaik Rasheed Ahamed Mohammed Ibrahim Department of Pharmacology and Biotechnology Nizam Institute of Pharmacy JSS College of Pharmacy OotyTamilnaduIndia and Manipal College of Pharmaceutical Sciences Centre for Liver Research and Diagno-stics Deccan College of Medical Sciences and Allied Hospitals

AIM:To evaluate the hepatoprotective activity of a hydroalcoholic extract of the bark of Anogeissus latifolia; in vitro in primary rat hepatocyte monolayer culture and in vivo in the liver of Wistar rats intoxicated by carbon tetrachloride (CCl4).METHODS: In the in vitro study, a primary hepatocyte monolayer culture was treated with CCl4 and extract of Anogeissus latifolia. Hepatoprotective activity was demonstrated in the CCl4 damaged primary monolayer culture. In the in vivo study, the hepatoprotective activity of a hydroalcoholic extract of Anogeissus latifolia was analyzed in liver injured CCl4-treated rats. Biochemical parameters including serum transaminases [aspartate aminotransferase (AST) and alanine aminotransferase (ALT)] and alkaline phosphatase (ALP) in serum were analyzed. The biochemical findings were supplemented with histopathological examination of rat liver ***: In vitro: primary hepatocyte monolayer cultures were treated with CCl4 and extract of Anogeissus latifolia. A protective activity could be demonstrated in the CCl4 damaged primary monolayer culture. In vivo : Hydroalcoholic extract of Anogeissus latifolia (300 mg/kg) was found to have protective activity in rats with CCl4-induced liver damage as judged from serum marker enzyme ***: The above findings lead to the conclusion that the hydroalcoholic extract of Anogeissus latifolia is hepatoprotective. Hence, we suggest that the inclusion of this plant in the management of liver disorders is justified.

关键词：体外培养肝细胞体内血清碱性磷酸酶评价丙氨酸转氨酶组织病理学检查单层培养

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Electrical Properties of Cadmium Substitution in Nickel Ferrites

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World Journal of Condensed Matter Physics 2012年第4期2卷 257-266页

作者： Ande Ashok Thatikonda Somaiah Dachepalli Ravinder Chinnala Venkateshwarlu Chandiri Sudhakar Reddy Kappera Nageshwar Rao meesala Prasad Department of Chemistry University College of Science Osmania University Hyderabad India Department of Physics Nizam College Basheerbagh Osmania University Hyderabad India Department of Physics Osmania University Hyderabad India Department of Physics University College of Science Osmania University Hyderabad India

Electrical transport properties such as conductivity (σ) and thermo electric power (S) of Cadmium substituted Nickel Ferrites, forming chemical formula Ni1–xCdxFe2O4, where x = 0.0, 0.2, 0.4 have been investigated from room temperature to well beyond the Curie temperature. Plots of log (σT) versus 103/T are linear and show a transition near the Curie temperature. The transition temperature is found to decrease with increase of Cd content. On the basis of Seebeck coefficient (S), the ferrites under investigation have been classified as n-type and p-type semiconductors. The values of charge carrier concentration and mobility have been computed from experimental values of Seebeck coefficient and electrical conductivity. The activation energy in the ferrimagnetic region is in general less than that in the paramagnetic region. An attempt is made to explain the conduction mechanism in these ferrites.

关键词： Ni-Cd Ferrite Thermo Electric Power Seebeck Coefficient Charge Carrier Concentration Electrical Conductivity

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