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Recent International Journal of Intelligent Networks Articles

Recently published articles from International Journal of Intelligent Networks.

Role of IoT to avoid spreading of COVID-19

Krishna Kumar | Narendra Kumar | Rachna Shah

Covid-19 has become pandemic, spreading all over the world. Scientists and engineers are working day and night to develop a vaccine, to evolve more testing facilities, and to enhance monitoring systems....

Diagnosis of osteoporosis using intelligence of optimized extreme learning machine with improved artificial algae algorithm

D. Devikanniga

Osteoporosis is the silent killer disease that mostly occur in elderly people because of bone fragility and fracture. Early and accurate diagnosis of osteoporosis saves the patient life. This work focuses...

Comparative study of predictability of response surface methodology (RSM) and artificial neural network-particle swarm optimization (ANN-PSO) for total colour difference of pineapple fortified rasgulla processing

Tanmay Sarkar | Molla Salauddin | Sudipta Kumar Hazra | Runu Chakraborty

Nutritionally enriched pineapple rasgulla can be produced through different methods and visual appearance being the most vital concern for the consumer acceptance. Therefore, total colour difference...

Application of fractional derivative on non-linear biochemical reaction models

Ali Akgül | SarbazH.A. Khoshnaw

Systems of ordinary differential equations play an important role in analyzing the dynamics for real world situations such as cell signaling pathways, population growth, enzymatic inhibitor reactions,...

SDARP: Security based Data Aware Routing Protocol for ad hoc sensor networks

K. Vinoth Kumar | T. Jayasankar | V. Eswaramoorthy | V. Nivedhitha

Ad hoc sensor networks are the very popular network and play a vital role for producing high performance. In existing networks techniques has not perfectly balanced both energy and security in ad hoc...

Quantification of tolerance limits of engineering system using uncertainty modeling for sustainable energy

Debabrata Datta | Sangeeta Mishra | S. Suman Rajest

Measurements always associate a certain degree of uncertainty. In order to achieve high precision measurement in presence of uncertainty an efficient computation is desired. Statistical definition of...

Automatic skull-face overlay and mandible articulation in data science by AIRS-Genetic algorithm

N. Yuvaraj | N.V. Kousik | R. Arshath Raja | M. Saravanan

Craniofacial superimposition (CFS) is an innovative method of identifying the missing skull of a human and has received serious attention in forensic research. Optimal overlaying of skull face is one...

A novel data science application approach for classification of nutritional composition, instrumental colour, texture and sensory analysis of bael fruit (Aegle marmelos (L) correa)

Tanmay Sarkar | Molla Salauddin | Sudipta Kumar Hazra | Runu Chakraborty

Bael, a sub-tropical fruit consumed extensively in South East Asia was dried under four different types of drying techniques namely sun, hot-air, microwave and freeze drying to preserve it for consumption...

Modified Artificial Bee Colony with firefly algorithm based spectrum handoff in cognitive radio network

M. Kalpana Devi | K. Umamaheswari

The metaheuristic algorithm such as Artificial Bee Colony (ABC) and Firefly Algorithm (FA) is a nature and biological inspired for solving the optimization problem. The cognitive radio network is an...

A survey on various applications of prescriptive analytics

S. Poornima | M. Pushpalatha

Decision making needs more support to gain momentum with increasing trend in big data analytics. Conventionally, descriptive and predictive analytics supported the decision making, however, the outcomes...

Application of intelligent computing to develop performance index algorithm as a multicriteria decision making tool

Muhammad Asim Saleem | Rashmi Bhardwaj | Debabrata Datta

Multi-criteria-based group decision-making methods are important in the area of data science. Many of such works are focused on multi criteria with crisp inputs. However, in practice approximate reasoning...

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