检索结果-南通市图书馆

Individual and combination approaches to forecasting hierarchical time series with correlated data:an empirical study

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Management Analytics 2019年第3期6卷 231-249页

作者： Hakeem-Ur Rehman Guohua Wan azmat ullah Badiea Shaukat Antai College of Economics and Management Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China

Hierarchical time series arise in manufacturing and service industries when the products or services have the hierarchical structure,and top-down and bottomup methods are commonly used to forecast the hierarchical time *** of the critical factors that affect the performance of the two methods is the correlation between the data *** study attempts to resolve the problem and shows that the top-down method performs better when data have high positive correlation compared to high negative correlation and combination of forecasting methods may be the best solution when there is no evidence of the *** conduct the computational experiments using 240 monthly data series from the‘Industrial’category of the M3-Competition and test twelve combination methods for the hierarchical data *** results show that the regression-based,VAR-COV and the Rank-based methods perform better compared to the other methods.

关键词： hierarchical time series individual forecasting methods combination forecasting methods correlation

Benchmarking Performance of Document Level Classification and Topic Modeling

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第4期71卷 125-141页

作者： Muhammad Shahid Bhatti azmat ullah Rohaya Latip Abid Sohail Anum Riaz Rohail Hassan Department of Computer Science COMSATS University IslamabadLahorePakistan Department of Communication Technology and Network Faculty of Computer ScienceUniversiti Putra MalaysiaSelangor43400Malaysia Othman Yeop Abdullah Graduate School of Business(OYAGSB) Universiti Utara Malaysia(UUM)Kuala Lumpur50300Malaysia

Text classification of low resource language is always a trivial and challenging *** paper discusses the process of Urdu news classification and Urdu documents *** is one of the most famous spoken languages in *** implementation of computational methodologies for text classification has increased over ***,Urdu language has not much experimented with research,it does not have readily available datasets,which turn out to be the primary reason behind limited research and applying the latest methodologies to the *** overcome these obstacles,a mediumsized dataset having six categories is collected from authentic Pakistani news *** is a rich but complex *** processing can be challenging for Urdu due to its complex features as compared to other *** frequency-inverse document frequency(TFIDF)based term weighting scheme for extracting features,chi-2 for selecting essential features,and Linear discriminant analysis(LDA)for dimensionality reduction have been *** matrix and cosine similarity measure have been used to identify similar documents in a collection and find the semantic meaning of words in a document FastText model has been *** training-test split evaluation methodology is used for this experimentation,which includes 70%for training data and 30%for testing ***-of-the-art machine learning and deep dense neural network approaches for Urdu news classification have been ***,we trained Multinomial Naïve Bayes,XGBoost,Bagging,and Deep dense neural *** and deep dense neural network outperformed the other *** experimental results show that deep dense achieves 92.0%mean f1 score,and Bagging 95.0%f1 score.

关键词： Deep neural network machine learning natural language processing TFIDF sparse matrix cosine similarity classification linear discriminant analysis gradient boosting

Requirement Engineering for E-Coaching in Higher Education

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Engineering（科研） 2023年第5期15卷 275-290页

作者： Essam Almuhsin Ben Soh Alice Li azmat ullah Department of Computer Science and Information Technology La Trobe University Melbourne Australia La Trobe Business School La Trobe University Melbourne Australia

This paper presents a requirement engineering for developing an e-coaching environment in the higher education sector. This research demonstrates that IT experts encounter challenges in establishing a system that matches a university’s expectations, as they are usually uncertain about its goals and system requirements. The paper illustrates a business goal-focused requirement induction technique, which encompasses demonstrating the business procedures through Business Process Modelling Notation (BPMN), assessing the university goals via the tree diagram, and drawing out the system requirements from the university objectives through UML state diagrams. A case study of supporting the development of a new IT course is used as a case study and applied using BPMN.

关键词： E-Coaching System Requirements Requirement Engineering E-Coaching Process Business Goals

Meteorological impacts on evapotranspiration in different climatic zones of Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Arid Land 2017年第6期9卷 938-952页

作者： Shahzada ADNAN Kalim ullah azmat H KHAN GAO Shouting Department of Meteorology COMSATS Institute of Information Technology Islamabad 44000 Pakistan Pakistan Meteorological Department Islamabad 44000 Pakistan State key Laboratory of Cloud-Precipitation Physics and SevereStorms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China

Arid regions are highly vulnerable and sensitive to drought. The crops cultivated in arid zones are at high risk due to the high evapotranspiration and water demands. This study analyzed the changes in seasonal and annual evapotranspiration（ET） during 1951–2016 at 50 meteorological stations located in the extremely arid, arid, and semi-arid zones of Pakistan using the Penman Monteith（PM） method. The results show that ET is highly sensitive and positively correlated to temperature, solar radiation, and wind speed whereas vapor pressure is negatively correlated to ET. The study also identifies the relationship of ET with the meteorological parameters in different climatic zones of Pakistan. The significant trend analysis of precipitation and temperature（maximum and minimum） are conducted at 95% confidence level to determine the behaviors of these parameters in the extremely arid, arid, and semi-arid zones. The mean annual precipitation and annual mean maximum temperature significantly increased by 0.828 mm/a and 0.014℃/a in the arid and extremely arid zones, respectively. The annual mean minimum temperature increased by 0.017℃/a in the extremely arid zone and 0.019℃/a in the arid zone, whereas a significant decrease of 0.007℃/a was observed in the semi-arid zone. This study provides probabilistic future scenarios that would be helpful for policy-makers, agriculturists to plan effective irrigation measures towards the sustainable development in Pakistan.

关键词： evapotranspiration meteorological parameters climatic zone Penman Monteith method Pakistan