Articles From Volume - 01 (Issue - 02)

Open Access Category: JEECS Total View - 5
Face Recognition Using Cascaded Object Detector in MATLAB Paper ID: JEECS-01-10-2019-126
Abstract : Face assume a significant job in recognizing individuals. What truly acknowledges the Researchers can perceive faces. A huge number of individuals perceive faces, and albeit visual improvements have experienced real changes, it is essential to recognize well-known faces, conditions, appearances, ages, sexes, and issues, for example, eyeglasses or haircut changes. Numerous ongoing occasions, for example, psychological oppressor assaults, have demonstrated that the most current security frameworks are genuinely defective. Different government organizations are currently urged to improve their wellbeing information frameworks dependent on physical or conduct qualities, frequently alluded to as biometric sources. Face Detection (FD) is a fundamental biometric include that spotlights on building up numerous calculations to execute an assortment of frameworks. FDD is one of the fundamental advancements that help Human-PC Interaction (HCI). In this manner, FD face arrangement, face check/confirmation, sexual orientation/age acknowledgment and face acknowledgment (FR) are the principle ventures of every single algorithmic calculation. This paper intends to propose another psychological oppression discovery calculation. Different changes and face discovery capacities can be proposed. This objective is executed at various stages and uses diverse proposed calculations. Initial, an amazing propelled format comprising of calculations, the present innovation viewpoint utilized in the prese
Full article
Open Access Category: JEECS Total View - 2
Harvest Disease Detection utilizing Deep Convolutional Neural Networks Paper ID: JEECS-01-10-2019-111
Abstract : The thought spotlights on giving the data in regards to the pesticide suggestion and the measure of pesticide to be utilized for an undesirable harvest. The client, who is the Farmer clicks an image of the harvest and transfers it to the server by utilizing the android application introduced in portable or by utilizing website page. Subsequent to transferring the picture the rancher taps the Predict catch which is shown on screen. At that point transferred picture is handled and appropriately the highlights of that picture are removed. In view of those highlights the characterization of picture is finished utilizing Convolutional neural system and the classes having greatest likelihood is chosen. At that point the outcome comprising of the illness name is recovered. This outcome is then transferred into the message table in the server and recovered in portable application or on the site page where relating data, for example, pesticide name, measure of pesticide to be utilized and natural pesticides which are put away. Presently the Farmer will probably recover the total data in a respectable arrangement on the screen of the Application
Full article
Back to Top