Morteza Zahedi
School of IT and computer engineering- Shahrood University of Technology
[ 1 ] - Query expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
[ 2 ] - یک مدل موضوعی احتمالاتی مبتنی بر روابط محلّی واژگان در پنجره‌های هم‌پوشان
A probabilistic topic model assumes that documents are generated through a process involving topics and then tries to reverse this process, given the documents and extract topics. A topic is usually assumed to be a distribution over words. LDA is one of the first and most popular topic models introduced so far. In the document generation process assumed by LDA, each document is a distribution o...
[ 3 ] - بهینه‌سازی در همروندی فرآیندهای کسب‌وکار با هدف تعادل بارکاری
امروزه سیستم‌های مدیریت فرآیندهای کسب‌وکار(BPMS) به‌سرعت در حال گسترش هستند. سازمان‌ها و شرکت‌های بزرگ برای افزایش بهره‌وری اقتصادی و توانایی رقابت در بازار جهانی ناگزیر به استفاده از BPMS در مدیریت فرآیندهای کسب‌وکار خود هستند. لذا توجه به معیارها و قابلیت‌های این سیستم‌ها موردتوجه محققان قرارگرفته است. ایجاد تعادل در بارِکاری منابع در BPMS، یکی از چالش‌هایی است که از دیرباز مورد مطالعه و بررسی...
[ 4 ] - Cycle Time Optimization of Processes Using an Entropy-Based Learning for Task Allocation
Cycle time optimization could be one of the great challenges in business process management. Although there is much research on this subject, task similarities have been paid little attention. In this paper, a new approach is proposed to optimize cycle time by minimizing entropy of work lists in resource allocation while keeping workloads balanced. The idea of the entropy of work lists comes fr...
[ 5 ] - Improving of Feature Selection in Speech Emotion Recognition Based-on Hybrid Evolutionary Algorithms
One of the important issues in speech emotion recognizing is selecting of appropriate feature sets in order to improve the detection rate and classification accuracy. In last studies researchers tried to select the appropriate features for classification by using the selecting and reducing the space of features methods, such as the Fisher and PCA. In this research, a hybrid evolutionary algorit...
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