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  • Open Access

    ARTICLE

    Multimodal Machine Learning Based Crop Recommendation and Yield Prediction Model

    P. S. S. Gopi*, M. Karthikeyan

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 313-326, 2023, DOI:10.32604/iasc.2023.029756

    Abstract Agriculture plays a vital role in the Indian economy. Crop recommendation for a specific region is a tedious process as it can be affected by various variables such as soil type and climatic parameters. At the same time, crop yield prediction was based on several features like area, irrigation type, temperature, etc. The recent advancements of artificial intelligence (AI) and machine learning (ML) models pave the way to design effective crop recommendation and crop prediction models. In this view, this paper presents a novel Multimodal Machine Learning Based Crop Recommendation and Yield Prediction (MMML-CRYP) technique. The proposed MMML-CRYP model mainly… More >

  • Open Access

    ARTICLE

    Grey Wolf Optimizer Based Deep Learning for Pancreatic Nodule Detection

    T. Thanya1,*, S. Wilfred Franklin2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 97-112, 2023, DOI:10.32604/iasc.2023.029675

    Abstract At an early point, the diagnosis of pancreatic cancer is mediocre, since the radiologist is skill deficient. Serious threats have been posed due to the above reasons, hence became mandatory for the need of skilled technicians. However, it also became a time-consuming process. Hence the need for automated diagnosis became mandatory. In order to identify the tumor accurately, this research proposes a novel Convolution Neural Network (CNN) based superior image classification technique. The proposed deep learning classification strategy has a precision of 97.7%, allowing for more effective usage of the automatically executed feature extraction technique to diagnose cancer cells. Comparative… More >

  • Open Access

    ARTICLE

    Modelling Mobile-X Architecture for Offloading in Mobile Edge Computing

    G. Pandiyan*, E. Sasikala

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 617-632, 2023, DOI:10.32604/iasc.2023.029337

    Abstract Mobile Edge Computing (MEC) assists clouds to handle enormous tasks from mobile devices in close proximity. The edge servers are not allocated efficiently according to the dynamic nature of the network. It leads to processing delay, and the tasks are dropped due to time limitations. The researchers find it difficult and complex to determine the offloading decision because of uncertain load dynamic condition over the edge nodes. The challenge relies on the offloading decision on selection of edge nodes for offloading in a centralized manner. This study focuses on minimizing task-processing time while simultaneously increasing the success rate of service… More >

  • Open Access

    ARTICLE

    Design of Optical Filter Using Bald Eagle Search Optimization Algorithm

    L. Jegan Antony Marcilin*, N. M. Nandhitha

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1215-1226, 2023, DOI:10.32604/iasc.2023.028764

    Abstract Controlled thermonuclear reactors require consistent monitoring of plasma in the toroidal chamber. Better working conditions of such machines can be monitored by analyzing its radiations. Various wavelengths such as 656.3, 486.1, 464.7 nm are quite significant which are used for health monitoring of thermonuclear machines. The optical thin film filters which work on constructive and destructive interference are the ideal choices. These filters are multilayered with a pair of high and low refractive index dielectric materials. Significantly high transmission index at the desired wavelength and relatively low transmission at the other wavelengths are desired. With this as the objective, it… More >

  • Open Access

    ARTICLE

    Multiobjective Economic/Environmental Dispatch Using Harris Hawks Optimization Algorithm

    T. Mahalekshmi1,*, P. Maruthupandi2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 445-460, 2023, DOI:10.32604/iasc.2023.028718

    Abstract The eminence of Economic Dispatch (ED) in power systems is significantly high as it involves in scheduling the available power from various power plants with less cost by compensating equality and inequality constrictions. The emission of toxic gases from power plants leads to environmental imbalance and so it is highly mandatory to rectify this issues for obtaining optimal performance in the power systems. In this present study, the Economic and Emission Dispatch (EED) problems are resolved as multi objective Economic Dispatch problems by using Harris Hawk’s Optimization (HHO), which is capable enough to resolve the concerned issue in a wider… More >

  • Open Access

    ARTICLE

    Malicious Activities Prediction Over Online Social Networking Using Ensemble Model

    S. Sadhasivam1, P. Valarmathie2, K. Dinakaran3,*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 461-479, 2023, DOI:10.32604/iasc.2023.028650

    Abstract With the vast advancements in Information Technology, the emergence of Online Social Networking (OSN) has also hit its peak and captured the attention of the young generation people. The clone intends to replicate the users and inject massive malicious activities that pose a crucial security threat to the original user. However, the attackers also target this height of OSN utilization, explicitly creating the clones of the user’s account. Various clone detection mechanisms are designed based on social-network activities. For instance, monitoring the occurrence of clone edges is done to restrict the generation of clone activities. However, this assumption is unsuitable… More >

  • Open Access

    ARTICLE

    Improved Clamped Diode Based Z-Source Network for Three Phase Induction Motor

    D. Bensiker Raja Singh1,*, R. Suja Mani Malar2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 683-702, 2023, DOI:10.32604/iasc.2023.028492

    Abstract The 3Φ induction motor is a broadly used electric machine in industrial applications, which plays a vital role in industries because of having plenty of beneficial impacts like low cost and easiness but the problems like decrease in motor speed due to load, high consumption of current and high ripple occurrence of ripples have reduced its preferences. The ultimate objective of this study is to control change in motor speed due to load variations. An improved Trans Z Source Inverter (ΓZSI) with a clamping diode is employed to maintain constant input voltage, reduce ripples and voltage overshoot. To operate induction… More >

  • Open Access

    ARTICLE

    DC-Link Capacitor Optimization in AC–DC Converter by Load Current Prediction

    V. V. Nijil*, P. Selvan

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1043-1062, 2023, DOI:10.32604/iasc.2023.028028

    Abstract Alternating Current–Direct Current (AC–DC) converters require a high value bulk capacitor or a filter capacitor between the DC–DC conversion stages, which in turn causes many problems in the design of a AC–DC converter. The component package size for this capacitor is large due to its high voltage rating and capacitance value. In addition, the high charging current creates more problems during the product compliance testing phase. The shelf life of these specific high value capacitors is less than that of Multilayer Ceramic Capacitors (MLCC), which limits its use for the highly reliable applications. This paper presents a feasibility study to… More >

  • Open Access

    ARTICLE

    A Novel ANFIS Based SMC with Fractional Order PID Controller

    A. Jegatheesh1,*, M. Germin Nisha2, N. Kopperundevi3

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 745-760, 2023, DOI:10.32604/iasc.2023.028011

    Abstract Interacting The highest storage capacity of a circular tank makes it popular in process industries. Because of the varying surface area of the cross-sections of the tank, this two-tank level system has nonlinear characteristics. Controlling the flow rate of liquid is one of the most difficult challenges in the production process. This proposed effort is critical in preventing time delays and errors by managing the fluid level. Several scholars have explored and explored ways to reduce the problem of nonlinearity, but their techniques have not yielded better results. Different types of controllers with various techniques are implemented by the proposed… More >

  • Open Access

    ARTICLE

    Optimized PI Controller Based Reboost Luo Converter for Micro Grid Application

    R. K. Negesh1,*, S. Karthikeyan2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1151-1172, 2023, DOI:10.32604/iasc.2023.027764

    Abstract In the recent era, the significance of Renewable Energy (RE) sources in the process of power generation has attained considerable attention as it provides multiple beneficial impacts without harming the environment. The Photovoltaic (PV) and Doubly-Fed Induction Generator (DFIG) fed wind turbine are employed as hybrid power sources in this study. The output voltages of these sources are independently controlled by separate controllers in an optimal manner for effectively maximizing the overall performance of the system. The Reboost Luo converter is introduced in this work to maximize the output voltage of PV in an efficient manner whereas the Grey Wolf… More >

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