|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Deep Learning Based Automated Detection of Diseases from Apple Leaf Images显示文摘In Agriculture Sciences, detection of diseases is one of the mostchallenging tasks. The mis-interpretations of plant diseases often lead towrong pesticide selection, resulting in damage of crops. Hence, the automaticrecognition of the diseases at earlier stages is important as well as economicalfor better quality and quantity of fruits. Computer aided detection (CAD)has proven as a supportive tool for disease detection and classification, thusallowing the identification of diseases and reducing the rate of degradationof fruit quality. In this research work, a model based on convolutional neuralnetwork with 19 convolutional layers has been proposed for effective andaccurate classification of Marsonina Coronaria and Apple Scab diseases fromapple leaves. For this, a database of 50,000 images has been acquired bycollecting images of leaves from apple farms of Himachal Pradesh (H.P)and Uttarakhand (India). An augmentation technique has been performedon the dataset to increase the number of images for increasing the accuracy.The performance analysis of the proposed model has been compared with thenew two Convolutional Neural Network (CNN) models having 8 and 9 layersrespectively. The proposed model has also been compared with the standardmachine learning classifiers like support vector machine, k-Nearest Neighbour, Random Forest and Logistic Regression models. From experimentalresults, it has been observed that the proposed model has outperformed theother CNN based models and machine learning models with an accuracy of99.2%. | Swati Singh Isha Gupta Sheifali Gupta Deepika Koundal Sultan Aljahdali Shubham Mahajan Amit Kant Pandit | 2022 | Computers, Materials & Continua2022，，4： | 2 |
| 2 | Dynamic Resource Allocation:A Flexible and Tractable Modeling Framework显示文摘 | Dimitris Bertsimas Shubham Gupta Guglielmo Lulli | 2014 | Physics Reports2014，236，1： | 1 |
| 3 | A 3-approximation algorithm for the facility location problem with uniform capacities显示文摘 | Ankit Aggarwal Anand Louis Manisha Bansal Naveen Garg Neelima Gupta Shubham Gupta Surabhi Jain | 2013 | Mathematical Programming (-)2013，，1： | 1 |
| 4 | Evaluation of Thermal Comfort and Energy Usage for an Enclosed Cavity Indifferent Climatic Zones of India显示文摘The utilization of energy in building sectors comprises 30–40%of the entire global energy consumption.Most of the energy is being utilized for cooling&heating the buildings.These cooling and heating depend on the nature of climate for different places.In this,the detailed analysis of the building envelope across five areas(viz.Srinagar,Jaisalmer,New Delhi,Thiruvananthapuram and Bangalore)representing different climatic zones had been carried out.Simulations are performed for these locations using eQUEST and ANSYS software.Three of the result output from the eQUEST simulation are used to assess the different cases.These outputs are:total electrical energy consumption of the year,peak cooling load&peak heating load for a particular time of the year.Temperature variations and airflow for a fan with moisture influence are also simulated for five different locations by using the radiation model and shear stress transport in ANSYS.The internal temperature distribution in accordance with an occupant is also compared and discussed for the five regions.Lastly,the predicted mean vote and predicted percentage of dissatisfaction are found to be in the range of−0.50 to−0.99 for all zones that signifies 13%to 30%of people are dissatisfied with the indoor environment. | Vibhushit Gupta Shubham KVerma Sanjeev Anand Navin Gupta Yatheshth Anand | 2021 | Energy Engineering2021，118，5： | 0 |
| 5 | Deep Learning Based Automated Diagnosis of Skin Diseases Using Dermoscopy显示文摘Biomedical image analysis has been exploited considerably by recent technology involvements,carrying about a pattern shift towards‘automation’and‘error free diagnosis’classification methods with markedly improved accurate diagnosis productivity and cost effectiveness.This paper proposes an automated deep learning model to diagnose skin disease at an early stage by using Dermoscopy images.The proposed model has four convolutional layers,two maxpool layers,one fully connected layer and three dense layers.All the convolutional layers are using the kernel size of 3∗3 whereas the maxpool layer is using the kernel size of 2∗2.The dermoscopy images are taken from the HAM10000 dataset.The proposed model is compared with the three different models of ResNet that are ResNet18,ResNet50 and ResNet101.The models are simulated with 32 batch size and Adadelta optimizer.The proposed model has obtained the best accuracy value of 0.96 whereas the ResNet101 model has obtained 0.90,the ResNet50 has obtained 0.89 and the ResNet18 model has obtained value as 0.86.Therefore,features obtained from the proposed model are more capable for improving the classification performance of multiple skin disease classes.This model can be used for early diagnosis of skin disease and can also act as a second opinion tool for dermatologists. | Vatsala Anand Sheifali Gupta Deepika Koundal Shubham Mahajan Amit Kant Pandit Atef Zaguia | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 6 | Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution显示文摘The differential evolution(DE)algorithm relies mainly on mutation strategy and control parameters'selection.To take full advantage of top elite individuals in terms of fitness and success rates,a new mutation operator is proposed.The control parameters such as scale factor and crossover rate are tuned based on their success rates recorded over past evolutionary stages.The proposed DE variant,MIDE,performs the evolution in a piecewise manner,i.e.,after every predefined evolutionary stages,MIDE adjusts its settings to enrich its diversity skills.The performance of the MIDE is validated on two different sets of benchmarks:CEC 2014 and CEC 2017(special sessions&competitions on real-parameter single objective optimization)using different performance measures.In the end,MIDE is also applied to solve constrained engineering problems.The efficiency and effectiveness of the MIDE are further confirmed by a set of experiments. | Shubham Gupta Shitu Singh Rong Su Shangce Gao Jagdish Chand Bansal | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 0 |
| 7 | IoT-Based Women Safety Gadgets (WSG): Vision, Architecture, and Design Trends显示文摘In recent years,the growth of female employees in the commercial market and industries has increased.As a result,some people think travelling to distant and isolated locations during odd hours generates new threats to women’s safety.The exponential increase in assaults and attacks on women,on the other hand,is posing a threat to women’s growth,development,and security.At the time of the attack,it appears the women were immobilized and needed immediate support.Only self-defense isn’t sufficient against abuse;a new technological solution is desired and can be used as quickly as hitting a switch or button.The proposed Women Safety Gadget(WSG)aims to design a wearable safety device model based on Internet-of-Things(IoT)and Cloud Technology.It is designed in three layers,namely layer-1,having an android app;layer-2,with messaging and location tracking system;and layer-3,which updates information in the cloud database.WSG can detect an unsafe condition by the pressure sensor of the finger on the artificial nail,consequently diffuses a pepper spray,and automatically notifies the saved closest contacts and police station through messaging and location settings.WSG has a response time of 1000 ms once the nail is pressed;the average time for pulse rate measure is 0.475 s,and diffusing the pepper spray is 0.2–0.5 s.The average activation time is 2.079 s. | Sharad Saxena Shailendra Mishra Mohammed Baljon Shamiksha Mishra Sunil Kumar Sharma Prakhar Goel Shubham Gupta Vinay Kishore | 2023 | Computers, Materials & Continua2023，，7： | 0 |
| 8 | Oncofertility:Treatment options from bench to bedside显示文摘In recent years,there has been continuous improvement in the treatment and diagnosis of cancer,which has led to a significant improvement in the survival rate of cancer patients.Treatments that include chemotherapy,radiotherapy,surgery,or combined therapy have several side effects that may lead to premature ovarian insufficiency in females or substantial male germ cell loss.Reproductive biologists recommend that all patients who are diagnosed with a malignant tumor must undergo a consultation for fertility protection and preservation.In this review,we discuss the background knowledge,methods,and options for fertility preservation and how these new strategies help oncologists,surgeons,pediatricians,and hematologists,conserve fertility and be aware of the concepts,methods,and importance of fertility guards.This review may aid in the advancement of novel personalized methods for fertility preservation according to patients’conditions. | Divya Gupta Shubham Singh Sangeeta Shukla Sadhana Shrivastava | 2023 | Cancer Pathogenesis and Therapy2023，1，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员