Volume-7 Issue-6S4, April 2019 – International Journal of Recent Technology and Engineering (IJRTE)

F10700476S419

IJRTE Journal — Wed, 12 Jul 2023 07:50:38 +0000

Removal of Heavy Metals and Colour from Industrial Wastewater by Biosorption – Marine Algae and Prosopis Juliflora
Samuel Paul Prasanna¹, T Supriyasubrahmanian²
¹Samuel Paul Prasanna, Department of Chemistry, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
²T Supriyasubrahmanian, Department of Chemistry, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 691-695 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10700476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Present day effluents containing overpowering metals are taken into consideration as a superb wellspring of water defilement. The defilement reasons real ordinary issues which can be being seemed via the general masses today. Contrasting treatment shapes are open and are absolutely analyzed for the remedy of the dirtied waters and wastewaters from affiliations. A supervisor most of the maximum supporting methodology for wastewater treatment is the biosorption technique. Biosorption is used as an different treatment method and are overriding the common frameworks. Prosopis juliflora (provoked carbon) and marine green development are used in the biosorption method of remedy of tannery transmitting water. Marine inexperienced improvement adsorb extensive diploma of metal debris in context at the closeness of various utilitarian social affairs at the telephone surface, in context on physico-compound correspondence. in this examination, biosorption of Cr(VI) and Pb(II) particles from watery outlines the use of Prosopis juliflora and Marine inexperienced development is seemed into as a phase of pH, starting metal iota center, bio sorbent bit and make contact with time. At the right adsorption pH regards, the most mind blowing take-up reason for constraint concerning chromium is assessed as seventy one.106 mg g−1 and for lead seventy seven.145 mg g−1. night time out records is all round depicted by using the Langmuir and Freundlich adsorption family members. The closeness of realistic get-togethers is ensured using (FTIR) spectroscopy and the steel debris are destitution troubled some spot around AAS framework the use of unequivocal lights at explicit wavelength. The end result shows that Prosopis juliflora (started out carbon) and marine inexperienced headway as biosorption substances has splendid ability for the discharge of metal particles and shading from the wastewater.
Keywords: AAS, Biosorption, Chromium, FTIR, Isotherms, Lead, Marine Algae, Prosopis Juliflora, Tannery Effluent.
Scope of the Article: Bio-Science and Bio-Technology

Download PDF

The post F10700476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11410476S419

IJRTE Journal — Wed, 12 Jul 2023 07:42:07 +0000

Word N-Gram Based Approach for Word Sense Disambiguation in Telugu Natural Language Processing
Palanati Durga Prasad¹, K.V.N. Sunitha², B. Padmaja Rani³
¹Palanati Durga Prasad, Academic Consultant, Department of CSE, Ucet, Mg University, Nalgonda (Telangana), India
²Dr. K.V.N. Sunitha, Professor, Department of CSE, BVRIT, JNTUH, Hyderabad (Telangana), India.
³Dr. B. Padmaja Rani, Professor, Department of CSE, JNTUH, Hyderabad (Telangana), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 686-690 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11410476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Telugu ( ) is one of the Dravidian languages which is morphologically rich. As in the other languages it too contains polysemous words which have different meanings in different contexts. There are several language models exist to solve the word sense disambiguation problem with respect to each language like English, Chinese, Hindi and Kannada etc. The proposed method gives a solution for the word sense disambiguation problem with the help of n-gram technique which has given good results in many other languages. The methodology mentioned in this paper finds the co-occurrence words of target polysemous word and we call them as n-grams. A Telugu corpus sent as input for training phase to find n-gram joint probabilities. By considering these joint probabilities the target polysemous word will be assigned a correct sense in testing phase. We evaluate the proposed method on some polysemous Telugu nouns and verbs. The methodology proposed gives the F-measure 0.94 when tested on Telugu corpus collected from CIIL, various news papers and story books .The present methodology can give better results with increase in size of training corpus and in future we plan to evaluate it on all words not only nouns and verbs.
Keywords: Joint Probabilities, Machine Translation, n-Grams, Word Sense Disambiguation.
Scope of the Article: Natural Language Processing

Download PDF

The post F11410476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11400476S419

IJRTE Journal — Wed, 12 Jul 2023 07:34:06 +0000

Relationship between Compressive Strength and Ultrasonic Pulse Velocity of Engineered Cementitious Composites Inducing Rice Husk Ash
K. B Shoba¹, P. Asha²
¹K. B Shoba, Research Scholar, Department of Civil Engineering, St. Peter’s Institute of Higher Education & Research, Avadi, Chennai (Tamil Nadu), India.
²P. Asha, Sardar Professor, Department of Civil Engineering, St. Peter’s Institute of Higher Education & Research, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 682-685 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11400476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The partial replacement of rice husk ash by cement in engineered cementitious composites had been reported to improve the properties of ECC especially its strength and extent of durability. There were no direct relation between the results of NDT in existing concrete structures. This article explores the relation between compressive strength of engineered cementitious composites and ultrasonic pulse velocity (direct and semi direct) method of hardened specimens. An experimental investigation was carried out which includes both destructive and nondestructive testing methods applied for ECC specimens containing rice husk ash and polypropylene fibres. Cubes of size 150mm * 150mm * 150mm are chosen for evaluation. Based on the outcome, relationships were derived for compressive strength and ultrasonic pulse velocity.
Keywords: Rice Husk ash, Non Destructive Testing, Ultrasonic Pulse Velocity, Compressive Strength, Direct Relationship.
Scope of the Article: Composite Materials

Download PDF

The post F11400476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11390476S419

IJRTE Journal — Wed, 12 Jul 2023 07:28:08 +0000

Toxic Environment Monitoring Using Sensors Based on IoT
R. Rajalakshmi¹, J. Vidhya²
¹R. Rajalakshmi, PG Scholar, Department of Electronics and Communication Engineering, IFET College of Engineering, Villupuram (Tamil Nadu), India.
²J. Vidhya, Associate Professor, Department of Electronics and Communication Engineering, IFET College of Engineering, Villupuram (Tamil Nadu), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 675-681 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11390476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The system planned in this paper is an excellent result for observing the toxic gases in hazardous environment for safety applications and generate the information visible anyplace within the world. The technology behind this Web of Things is advanced and is efficient solution for connecting the devices to the web and to attach the complete world of things in a network. The system deals with monitoring and controlling the environmental conditions like carbon monoxide, methane, hydrogen, LPG and flammable gases with sensors and send this data to the cloud server and draw the sensor data as pictorial statistics. The data upgraded from the enforced system is accessible within the web from anyplace within the world.
Keywords: Internet of Things (IoT), Cloud Server, Arduino, Thing Speak, Sensors, Toxic Gas.
Scope of the Article: IoT

Download PDF

The post F11390476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11380476S419

IJRTE Journal — Wed, 12 Jul 2023 07:21:42 +0000

A Comparison on Control Algorithms for a BEV Propulsion Motor with Road load under NEDC
Banda Gururaj¹, Kolli Sri Gowri²
¹Banda Gururaj, Research Scholar, Department of EEE, GPREC (R&D) Center, Kurnool, JNT University, Anantapuramu (Andhra Pradesh), India.
²Kolli Sri Gowri, Professor, Department of EEE, GPREC Autonomous, Kurnool (Andhra Pradesh), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 668-674 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11380476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper a Comparative analysis is made between Indirect field oriented control and Space Vector Modulation based Direct torque control (SVM-DTC) methods to regulate the performance of the propulsion motor of a Battery Electric Vehicle(BEV) with road load under NEDC drive cycle. Owing to the splendid characteristics like rapid torque control and higher efficiency, the Induction Motor (IM) is adopted as the preeminent for BEV propulsion motor. The most significant techniques used for propulsion motor torque and speed control are Indirect field oriented control (IFOC) and Space Vector Modulation based direct torque control (SVM-DTC).In IFOC the propulsion motor control is achieved by synthesizing stator currents from two quadrature components, corresponding to flux and torque respectively. In SVM-DTC decoupling and linearization of current vectors through coordinate transformation is eradicated and a reference stator flux vector originated by the adaptive motor model provides d and q axis reference voltages fed to SVM. Simulation results are explored to accentuate the performance of the propulsion motor with road load for both methods under NEDC drive cycle.
Keywords: Direct Torque Control, Indirect Field Oriented Control, NEDC Drive Cycle, Road Load, Space Vector Modulation, Three Phase Induction Motor.
Scope of the Article: Parallel and Distributed Algorithms

Download PDF

The post F11380476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11370476S419

IJRTE Journal — Wed, 12 Jul 2023 07:14:48 +0000

No-reference Fundus Image Quality Assessment using Convolutional Neural Network
Bhargav J Bhatkalkar¹, Dheeraj Rajaram Reddy², Vishnu Asutosh Dasu³, Advait Raykar⁴, Srikanth Prabhu⁵, Sulatha Bhandary⁶, Govardhan Hegde⁷
¹Bhargav J Bhatkalkar, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
²Dheeraj Rajaram Reddy, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
³Vishnu Asutosh Dasu, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
⁴Advait Raykar, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
⁵Srikanth Prabhu, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
⁶Sulatha Bhandary, Department of Ophthalmology, Kasturba Medical College, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
⁷Govardhan Hegde, Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Udupi (Karnataka), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 663-667 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11370476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Computerized fundus image analysis is a well-established research area in the field of medical imaging. The cause of noise in fundus images is due to many factors like the low lighting conditions, adverse illumination effects, camera malfunctioning, etc. The presence of noise may lead to data loss and sometimes to the wrong data interpretation. Classifying the fundus images into either good quality or bad quality is very important as the good quality fundus images can be directly sent for processing without any preprocessing, hence reducing the computational time and the bad quality images can be forwarded for the required preprocessing stages. In this paper, we are using a convolutional neural network (CNN) to assess the quality of fundus images automatically. We use No-reference image quality assessment technique (IQA) classify the fundus images into good quality or bad quality based on their quality. A Mean Opinion Square (MOS) of 12 image quality assessment participants is taken for labeling the 300 fundus images based on their quality. The participants have rated the fundus images on the scale of 0- 10, where the 0-rating is given for very bad quality fundus images, and 10-rating is given for the very good quality fundus images. The experimental study has proven that the classification result of the proposed CNN outperforms the best-known blind image quality assessment algorithms, namely, DIVINE, BLIINDS-II, and BRISQUE when trained on the public databases LIVE, TID2013 and on our fundus image dataset.
Keywords: Fundus Image Analysis, Image Quality Assessment, Convolutional Neural Network.
Scope of the Article: Neural Information Processing

Download PDF

The post F11370476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11360476S419

IJRTE Journal — Wed, 12 Jul 2023 07:03:14 +0000

Prediction of Diabetes using Ensemble Techniques
Prema N S¹, Varshith V², Yogeswar J³
¹Prema N S, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
²Varshith V, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
³Yogeswar J, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 660-662 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11360476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the recent decades, there has been a significant improvement in the quality and quantity of medical data that is produced by digital devices. This has led to inexpensive and easy production of data. Thus, there has been an increased advantage in the areas of Big Data and Machine Learning. In this paper, various machine learning algorithms are applied to predict diabetes, based on specific attributes. The performances of the algorithms are compared in terms of accuracy, voting based ensemble techniques is applied for the normalized pima diabetes data for which a highest accuracy is achieved.
Keywords: Diabetes, Ensemble Classifier, Voting Classifiers, SVM.
Scope of the Article: Regression and Prediction

Download PDF

The post F11360476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11350476S419

IJRTE Journal — Wed, 12 Jul 2023 06:56:56 +0000

Vibration Control of Electronic Equipment in a Dynamic Environment Using Spacers
M.I. Sakri¹, M. Adimurthy²
¹M.I. Sakri1, Department of Mechanical Engineering, BLDEA‟s Vachana Pitamaha Dr. P.G. Halakatti College of Engineering and Technology, Vijayapur (Karnataka), India.
²M. Adimurthy, Department of Automobile Engineering, BLDEA‟s Vachana Pitamaha Dr. P.G. Halakatti College of Engineering and Technology, Vijayapur (Karnataka), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 657-659 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11350476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The makers of virtual equipment are interminably looking for to make the hardware to with stand top notch vibration situations and final longer with out a hassle. The posted circuit board (PCB) which shapes the essential assist shape of all virtual gadget is displayed to direct to superb vibration situations amidst social occasion, transportation, overseeing and certifiable use. The lead wires and tie joints of electronic factors also can wallow because of high statistics enlivening measurements and trends in a veritable vibration situation. Specific frustrations noticed in virtual device due to unforgiving vibrations are; expelling of PCB confirming screws, a few portion of PCB and shortcircuiting. To lower the slip-up rate and enhance the undeterred concept of digital mechanical assembly, the digital producers ought to understand the manner to keep the dislodging of PCB; stresses and strains started in imbroglio joints and the lead wires of number one digital elements set up on it. Inside the present work, the dynamic reactions are probably coordinated with the aid of the use of mounting the PCB get together on plastic spacers and neoprene bendy spacers. From the starter outcomes it turned into found that, the adaptable spacers decreased the PCB emptying, crest response quickening and transmissibility degree via 28% showed up contrastingly in connection to the reactions whilst the PCB became installed on plastic spacers. Additionally, adaptable spacers progressed the damping degree by using 32% whilst the foremost rehash stayed equal for the two instances.
Keywords: Electronic Equipment, PCB, Plastic Spacer, Rubber Spacer, Transmissibility Ratio.
Scope of the Article: Quality Control

Download PDF

The post F11350476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11340476S419

IJRTE Journal — Wed, 12 Jul 2023 06:50:04 +0000

Enhancing Performance of Map Reduce Workflow through H2HADOOP: CJBT
Gopichand G¹, Vishal Lella², Sai Manikanta Avula³
¹Gopichand G, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
²Vishal Lella, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
³Sai Manikanta Avula, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 652-656 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11340476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Distributed computing uses Hadoop framework for handling Big Data in parallel. Hadoop’s confinements can be exploited to execute various activities proficiently. These confinements are for the most part an immediate consequence of locality of data in the cluster, scheduling of tasks and various jobs and allocation of resources in Hadoop. Productive resource allocation remain as a challenge in Cloud Computing Map Reduce stages. Henceforth, we propose H2Hadoop, which is an enhanced architecture which decreases calculation cost related with Big Data analysis. The proposed framework additionally helps in solving the issue of resource allocation in local Hadoop. H2Hadoop provides a reliable, accurate and far faster solution for “text data”, such as finding DNA sequences and the theme of a DNA succession. Additionally, H2Hadoop gives an effective Data Mining technique for Cloud Computing environment. H2Hadoop design influences on Name Node’s ability to assign jobs to the Task Trackers (Data Nodes) inside the group. Building a metadata table containing information of location of data nodes with required features that are needed when in future a similar job is requested to the job tracker then it should compare the metadata and CJBT for assigning data nodes which were previously assigned instead of storing and reading through whole gathering again. Contrasting with local Hadoop, H2Hadoop diminishes time taken by CPU, number of read tasks, and other Hadoop factors.
Keywords: CJBT, DNA Sequences, H2Hadoop.
Scope of the Article: Process and Workflow Management

Download PDF

The post F11340476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

F11330476S419

IJRTE Journal — Wed, 12 Jul 2023 06:43:37 +0000

Evaluation of Recommendation Systems using Trust Aware Metrics
Gopichand G¹, Koduri Sai Sankeerth², Anirudh Parlapalli³
¹Gopichand G, School of Computer Science & Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
²Koduri Sai Sankeerth, School of Computer Science & Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
³Anirudh Parlapalli, School of Computer Science & Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 29 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript Published on 17 May 2019 | PP: 648-651 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11330476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A recommendation system is that type of system which uses the entities such as “likes”, “preferences” and “ratings” in order to predict the items that a user would want. It is kind of a filtering system which suggests the users what products they would like to see. This technique can be used to counter the information overloading. In the current online world, information overloading is a major issue as we have a plethora of choices and this can be done using personalized systems. The recommendation systems can mainly classified into three types. The first is based on the content where the system uses the information regarding the other user to suggest and recommend the items which are most likely to satisfy the customer needs. Next is the collaborative filtering, where the own information of the individual is only taken into consideration. Finally, comes the trust-aware system, where the information related to the social media and its trust information is used to predict the user’s likings and his preferences.K- nearest neighbour(k-NN) is one of the best algorithms when it comes to the collaborative filtering(CF) and is used to fine tune the recommendation systems. It also deals with the information overloading problem which is mentioned above by generating predicted ratings for all those users who have not expressed their opinions. Here, in this paper we will try to discuss how one can use the trust as an alternative in order to overcome the limitations of collaborative filtering. A k-nearest recommenders (k-NR) algorithm is proposed in the paper where the user learns who all he or she should trust and up to what extent he can trust, by studying and assessing the ratings that the individuals have received.
Keywords: Trust, Recommendation System, K- Nearest Neighbour, K- Nearest Recommenders Algorithm, Collaborative Filtering.
Scope of the Article: Security, Privacy and Trust in IoT & IoE

Download PDF

The post F11330476S419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).