Muhammad Amjad Iqbal

University of Central Punjab · Faculty of Information Technology

Sarcasm is a mode of expression whereby individuals communicate their positive or negative sentiments through words contrary to their intent. This communication style is prevalent in news headlines and social media platforms, making it increasingly challenging for individuals to detect sarcasm accurately. To mitigate this challenge, developing an i...

Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the lung. Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography (CT) scan images. Early detection plays an important ro...

Recent image retrieval techniques are focusing on multiple image features for the efficient image retrieval. It has been an inevitable requirement to fetch the images from a variety of semantic groups and datasets. It is vital to retrieve the images based on their primitive features shape, texture, color and spatial information to cater the versati...

Images can be well defined by the primitive shape and texture features. In this paper we combined these features in a novel way. We presented a scheme of the local interest point detection and their global description in a more meaningful way. We extracted the image signatures by assembling the interest points at different levels of the representat...

Image extraction methods rely on locating interest points and describing feature vectors for these key points. These interest points provide different levels of invariance to the descriptors. The image signature can be described well by the pixel regions that surround the interest points at the local and global levels. This contribution presents a...

In this paper, a boosted NNE (neural network ensemble) collections based technique for multicultural facial expression recognition is presented. The boosted NNE collections based ensemble classifier involves three steps: first is the training of binary neural networks, second is to combine the predictions of binary neural networks to form NNE, and...

The purpose of this paper is to present a comprehensive study of latest and most famous facial features extraction techniques and as well as classification techniques. We studied these techniques in two different perspectives; one is spatial domain and other is frequency domain. We found many advantages and disadvantages of each technique inside on...

In this paper we present a new Discrete Particle Swarm Optimization approach to induce rules from discrete data. The proposed algorithm, called Opposition-based Natural Discrete PSO (ONDPSO), initializes its population by taking into account the discrete nature of the data. Particles are encoded using a Natural Encoding scheme. Each member of the p...

Advent of Evolutionary algorithms (EA) is a major milestone in the field of data mining. Many research has been made to solve complicated mathematical and optimization problems since long. The Evolutionary Algorithm has been used effectively to resolve these optimization problems. Due to the evolutionary and stochastic nature of these algorithms, s...

Nonlinear Complex optimization problems are the key area of research in the field of optimization. Evolutionary Algorithms (EAs) are applied to solve these opimization problems successfully. The EAs suffer a lot due to their slow convergencerate, primarily due to evolutionary nature of these algorithms. It has been proved that distribution of initi...

The abilities to accept new information from the environment and use it to update our existing knowledge thus adapting to the changes of our environment have played a crucial role in the success of human beings as a species. Incorporating these abilities in machines has been an age long desire of artificial intelligence. In this paper, we present a...

Segmentation of images has become an important and effective tool for many technological applications like lungs segmentation from CT scan images, medical imaging and many other post-processing techniques. Lung cancer is one of the leading causes of death in the world. In this paper, a fully automatic un-supervised strategy has been devel-oped for...

With the improvements of technologies, software systems have been more complex then ever before. This requires new approaches to improve software development processes so that they sufficiently and efficiently meet these challenges. Requirement engineering in this regard facing many problems in which conflicts resolution gained very little populari...

This paper introduces a new method of adaptive blind digital image watermarking in spatial domain. Watermarking is a way to hide secret information in a cover image or host medium. Amount of information to hide in the cover image is limited because there is a trade-off between imperceptibility and payload of the data to hide. So increasing the payl...

In this paper we have presented a new Discrete Particle Swarm Optimization approach to induce rules from the discrete data. The proposed algorithm initializes its population by taking into account the discrete nature of the data. It assigns different fixed probabilities to current, local best and the global best positions. Based on these probabilit...

Project management is one very critical task of development activity. Project management is traditionally defined as the discipline of planning, organizing, and managing activities and resources for successful execution and completion of project goals and objectives. In this respect, project management holds a key position in satisfactory completio...

In this paper we have presented a new Discrete Particle Swarm Optimization approach to induce rules from the discrete data. Particles are encoded using Natural Encoding scheme. Encoding scheme and position update rule used by the algorithm allows individual terms corresponding to different attributes in the rule antecedent to be disjunction of valu...

Evolutionary algorithms (EA) have been used in data classification and data clustering task since the advent of these algorithms. Nonlinear complex optimization problems have been the area of interest since very long time. The EA have been applied successfully on these optimization problems. The evolutionary algorithms suffer a lot due to their slo...

Requirement engineering is one of the most significant phases of software engineering. Success or failure of any software project relies heavily on better requirement engineering process. Better awareness of the requirements is fundamental for requirements engineering. Requirement Prioritization is an important component of requirement engineering...

Segmentation is considered as an essential step in medical image analysis and classification. In this paper we have proposed a method for the automatic segmentation of brain from MR images using Curvelet transform and Fuzzy C-Mean (FCM) with spatial information. Fuzzy entropy has been used for calculating adaptive and optimal threshold to separate...

The ICACTE 2009 was organized to gather members of the international community of Computer Theory and Engineering scientists so that researchers from around the world could present their leading-edge work, expanding our community's knowledge and insight into the significant challenges currently being addressed in that research.