A Multi-stage SVM Based Diagnosis Technique for Photovoltaic PV Systems

2021 ◽  
pp. 183-193
Author(s):  
Yassine Chouay ◽  
Mohammed Ouassaid
Keyword(s):  
Pv Systems ◽  
Multi Stage ◽  
Diagnosis Technique

Breast Cancer Diagnosis Using Multi-Stage Weight Adjustment In The MLP Neural Network

2020 ◽  
Author(s):  
Amin Rezaeipanah ◽  
Gholamreza Ahmadi
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Fine Tuning ◽  
Hybrid Classifier ◽  
Mlp Neural Network ◽  
Multi Stage ◽  
Hybrid Classification ◽  
Diagnosis Technique

Abstract Breast cancer is the most common kind of cancer, which is the cause of death among the women worldwide. There is evidence that shows that the early detection and treatment can increase the survival rate of patients who suffered this disease. Therefore, this paper proposes an automatic breast cancer diagnosis technique using a genetic algorithm for simultaneous feature selection and parameter optimization of an Multi Layer Perceptron (MLP) neural network. The aim of this paper is to propose a hybrid classification algorithm based on Multi-stage Weights Adjustment in the MLP (MWAMLP) neural network in two parts to improve the breast cancer diagnosis. In the first part, the three classifiers are trained simultaneously on the learning dataset. The output of the first part classifier together with the learning dataset is placed in a new dataset. This dataset uses a hybrid classifier method to model the mapping between the outputs of each ordinary classifier of the first part with real output labels. The proposed algorithm is implemented with three different variations of the backpropagation (BP) technique, namely the Levenberg–Marquardt, resilient BP and gradient descent with momentum for fine tuning of the weight of MLP neural network and their performances are compared. Interestingly, one of the proposed algorithms titled MWAMLP-RP produces the best and on average, 99.35% and 98.74% correct classification, respectively, on the Wisconsin Breast Cancer Database dataset, which is comparable with the obtained results from the methods titled GP-DLNN, GAANN and CAFS and other works found in the literature.

Planning and Search in Multi-Stage Risky Decision Making

2011 ◽  
Author(s):  
Jared Hotaling ◽  
Jerry Busemeyer ◽  
Richard Shiffrin
Keyword(s):  
Decision Making ◽  
Risky Decision Making ◽  
Risky Decision ◽  
Multi Stage

Effects of Cooking Oil Subsidy Removals on Related Markets in Malaysia: A Comparative Static, Multicommodity, Multi Stage Production Approach

2011 ◽  
Author(s):  
Jamal Othman ◽  
Yaghoob Jafari
Keyword(s):  
Equilibrium Model ◽  
Comparative Statics ◽  
Partial Equilibrium ◽  
Cooking Oil ◽  
Multi Stage ◽  
Supply Factor ◽  
Partial Equilibrium Model ◽  
Factor Markets ◽  
Input Markets ◽  
Production Approach

Malaysia is contemplating removal of most of her subsidy support measures including subsidies on cooking oil which is largely palm oil based. This paper aims to examine the effects of cooking oil subsidy removals on the competitiveness of the oil palm subsector and related markets. This is done by developing and applying a comparative static, multi-commodity, partial equilibrium model with multi-stages of production function for the Malaysian perennial crops subsector which explicitly links different stages of production, primary and intermediate input markets, trade, and policy linkages. Results partly suggest that export of cooking oil will increase by 0.2 per cent due to a 10 per cent cooking oil subsidy reduction, while domestic output of cooking oil may eventually see a net decline of 1.97 per cent. The results clearly point out that the effect of reducing cooking oil subsidies is relatively small at the upstream levels and therefore it only induces minute effects on factor markets. Consequently, the market for other agricultural crops is projected to change very marginally.   Keywords: Multicomodity, comparative statics, partial equilibrium model, output supply-factor markets linkages, effects of cooking oil subsidy removals.

IMPACT ASSESSMENT OF AGRICULTURAL TRANSFORMATION PROJECT ON PRODUCTIVITY AND POVERTY AMONG RICE FARMERS IN KANO STATE, NIGERIA.

2020 ◽  
Vol 4 (2) ◽  
pp. 392-400
Author(s):  
O. S. Balogun ◽  
M. A. Damisa ◽  
O. Yusuf ◽  
O. L. Balogun
Keyword(s):  
Sampling Method ◽  
Insect Pests ◽  
Study Data ◽  
Average Treatment Effect ◽  
Descriptive Statistics ◽  
Rice Farmers ◽  
Agricultural Transformation ◽  
Multi Stage ◽  
Significant Difference ◽  
Late Model

The study was carried out to examine the effect of agricultural transformation on the beneficiary’s productivity and poverty of rice farmers in Kano State Nigeria. A multi-stage sampling method was employed to select 571 respondents for the study. Data were collected through structured questionnaires on respondent’s income, input and output quantities as well as their expenditures. Data were analysis using descriptive statistics, Foster-Greer-Thorbecke (FGT), Propensity score matching and LATE model. Results from the study shows that respondents productivity revealed a significant difference of about 127 kg/ha in rice productivity between participants and non-participants. Also, the LATE estimates revealed an average treatment effect ATE0 of about 222.98kg/ha. Furthermore, the project had a significant effect N11, 321.4 on the participant’s consumption expenditure than the non-participants N9980.60. Moreover, participants were, able to increase their household total expenditures by N34780 per annum. Fluctuations of input/output prices insect pests and inadequate extension visits were all the major constraints faced by the farmers. It was recommended that farmers’ information and sensitization system should be overhauled and improved. Also, attention should be given to well organize extension visits for the farmers from stake holders

A tes

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
IJE Manager
Keyword(s):  
Energy Supply ◽  
Fossil Fuels ◽  
Geographical Location ◽  
Weather Conditions ◽  
Past Century ◽  
Solar Pv ◽  
Pv Systems ◽  
Trade Offs ◽  
A Site ◽  
Selection Methodology

In the past century, fossil fuels have dominated energy supply in Indonesia. However, concerns over emissions are likely to change the future energy supply. As people become more conscious of environmental issues, alternatives for energy are sought to reduce the environmental impacts. These include renewable energy (RE) sources such as solar photovoltaic (PV) systems. However, most RE sources like solar PV are not available continuously since they depend on weather conditions, in addition to geographical location. Bali has a stable and long sunny day with 12 hours of daylight throughout the year and an average insolation of 5.3 kWh/m2 per day. This study looks at the potential for on-grid solar PV to decarbonize energy in Bali. A site selection methodology using GIS is applied to measure solar PV potential. Firstly, the study investigates the boundaries related to environmental acceptability and economic objectives for land use in Bali. Secondly, the potential of solar energy is estimated by defining the suitable areas, given the technical assumptions of solar PV. Finally, the study extends the analysis to calculate the reduction in emissions when the calculated potential is installed. Some technical factors, such as tilting solar, and intermittency throughout the day, are outside the scope of this study. Based on this model, Bali has an annual electricity potential for 32-53 TWh from solar PV using amorphous thin-film silicon as the cheapest option. This potential amount to three times the electricity supply for the island in 2024 which is estimated at 10 TWh. Bali has an excessive potential to support its own electricity demand with renewables, however, some limitations exist with some trade-offs to realize the idea. These results aim to build a developmental vision of solar PV systems in Bali based on available land and the region’s irradiation.

Radiofrequency ablation of colorectal liver metastases

2019 ◽  
Vol 98 (10) ◽  
Keyword(s):  
Radiofrequency Ablation ◽  
Liver Resection ◽  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Survival Rates ◽  
Postoperative Mortality ◽  
Disease Free Survival ◽  
Female Ratio ◽  
Liver Resections ◽  
Multi Stage

Introduction: Radical liver resection is the only method for the treatment of patients with colorectal liver metastases (CLM); however, only 20–30% of patients with CLMs can be radically treated. Radiofrequency ablation (RFA) is one of the possible methods of palliative treatment in such patients. Methods: RFA was performed in 381 patients with CLMs between 01 Jan 2001 and 31 Dec 2018. The mean age of the patients was 65.2±8.7 years. The male to female ratio was 2:1. Open laparotomy was done in 238 (62.5%) patients and the CT-navigated transcutaneous approach was used in 143 (37.5%) patients. CLMs <5 cm (usually <3 cm) in diameter were the indication for RFA. We used RFA as the only method in 334 (87.6%) patients; RFA in combination with resection was used in 36 (9.4%), and with multi-stage resection in 11 (3%) patients. We performed RFA in a solitary CLM in 170 (44.6%) patients, and in 2−5 CLMs in 211 (55.6%) patients. We performed computed tomography in each patient 48 hours after procedure. Results: The 30-day postoperative mortality was zero. Complications were present in 4.8% of transcutaneous and in 14.2% of open procedures, respectively, in the 30-day postoperative period. One-, 3-, 5- and 10-year overall survival rates were 94.8, 66.8, 43.9 and 16.6%, respectively, in patients undergoing RFA, and 90.6, 69.1, 52.8 and 39.2%, respectively, in patients with liver resections. Disease free survival was 63.2, 30.1, 18.4 and 13.1%, respectively, in the same patients after RFA, and 71.1, 33.3, 22.8 and 15.5%, respectively, after liver resections. Conclusion: RFA is a palliative thermal ablation method, which is one of therapeutic options in patients with radically non-resectable CLMs. RFA is useful especially in a non-resectable, or resectable (but for the price of large liver resection) solitary CLM <3 cm in diameter and in CLM relapses. RFA is also part of multi-stage liver procedures.

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