The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) provides an interdisciplinary forum in which scientists and professionals share their research results and report new advances on tools that use AI with interactive multimedia techniques. A brief of selected papers of IJIMAI are mentioned below:

Real Time Facial Expression Recognition Using Webcam and SDK Affectiva (Slovakia) by Magdin and Prikler: the proposed system uses neural network algorithm for classification and recognizes 6 (respectively 7) facial expressions, namely anger, disgust, fear, happiness, sadness, surprise and neutral.

Self-Organized Hybrid Wireless Sensor Network for Finding Randomly Moving Target in Unknown Environment (India) by Nighot et al. This research paper proposes a solution for searching randomly moving target in unknown area using Mobile sensor nodes and combination of both Static and Mobile sensor nodes. Using algorithms like MSNs Movement Prediction Algorithm (MMPA), Leader Selection Algorithm (LSA), Leader’s Movement Prediction Algorithm (LMPA) and follower.

Novel Clustering Method Based on K-Medoids and Mobility Metric (Morocco) authors (Hamzaoui et al.) propose a new algorithm of clustering based on new mobility metric and K-Medoid to distribute nodes into several clusters, to avoid the problem of negative influence of MANETS on the performance of QoS.

Spectral Restoration Based Speech Enhancement for Robust Speaker Identification (Pakistan) By Saleem and Tareen employed and evaluated Minimum Mean-Square-Error Short-Time Spectral Amplitude to improve performance of the speaker identification systems in presence of background noise. The identification rates are found to be higher after employing speech enhancement algorithms.

Hybrid Model for Passive Locomotion Control of a Biped Humanoid: The Artificial Neural Network Approach (India) by Raj et al. led to the observation that base model with learning-based compensation enables the biped to better adapt in a real walking environment, showing better limit cycle behaviors.

Users Integrity Constraints in SOLAP Systems. Application in Agroforestry (Algeria) by Charef and Djamila, proposed a system for the implementation of user integrity constraints in SOLAP, namely “UIC-SOLAP”.

A Study on Persuasive Technologies: The Relationship between User Emotions, Trust and Persuasion (Malaysia) by Ahmad and Ali, concluded that emotions have significant effect on trust, and effect of emotions on persuasion using the persuasive technology was mediated by trust.

EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls (Australia) authors (Perera et al.) study revealed that the extra difficulties seen in individuals with dyslexia during writing and typing compared to normal controls are reflected in the brainwave signal patterns.

Applying Bayesian Regularization for Acceleration of Levenberg- Marquardt based Neural Network Training (Malasia y Kazakhstan) by Suliman and Omarov: describe a method of applying Bayesian regularization to improve Levenberg-Marquardt (LM) algorithm and make it better usable in training neural networks. Results showed 98.8% correct classification when run on test samples.

Object Detection and Tracking using Modified Diamond Search Block Matching Motion Estimation Algorithm (India), Samdurkar et al. observed that the MDS (modified diamond search pattern) performs better than DS (diamond search) and CDS (cross diamond search algorithms) on average search point and average computation time.

Spatial and Textural Aspects for Arabic Handwritten Characters Recognition (Morocco), Boulid, et al. purpose was the recognition of handwritten Arabic characters in their isolated form, and had 2.82% error rate.

A Novel Smart Grid State Estimation Method Based on Neural Networks (Egypt) Abdel-Nasseret al. presents a novel method called SE-NN (state estimation using neural network) for smart grid state estimation using artificial neural networks (ANNs) and is a very fast tool to estimate voltages and re/active power loss with a high accuracy compared to the traditional methods.

Conceptual model development of big data (Malaysia) Adrian et al. aims to identify and analyze the affecting factors of BDA implementation and to propose a conceptual model for effective decision-making through BDA implementation assessment.

MSA for Optimal Reconfiguration and capacitor Allocation in Radial/Ring Distribution Networks (Egypt y Japan) Mohamed et al. presents a hybrid heuristic search algorithm called Moth Swarm Algorithm (MSA) in the context of power loss minimization of radial distribution networks (RDN). Results state that MSA can achieve optimal solutions for losses reduction and capacitor locations with finest performance compared with many existing algorithms.

The research works presented in this regular issue are based on various topics of interest, among which are included: nature inspired optimization algorithms, multi-agent systems, fast motion estimation, handwritten recognition, supervised and unsupervised machine learning methods, or web mining. The fields of application are diverse: e-commerce, computer security, 2.0 enterprises, decision making in business, online banking systems, video compression, user experience evaluation, accessibility for Deaf people, or wireless networks.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals share their research results and report new advances on Artificial Intelligence tools and tools that use Artificial Intelligence with interactive multimedia techniques.

The research works presented in this issue are based on various topics of interest, among which are included: Radar Clutter, Radar Detectors Performance, Butterfly Optimization Algorithm, Artificial Bee Colony, Evolutionary strategy, Fractal Coding, User Experience, Handwritten Arabic Character Recognition, Feature Extraction, Embedded Hidden Markov Models, Artificial Immune System, Hopfield Neural Network, Browsers, Multimedia, MoCap and Animations. 

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals share their research results and report new advances on Artificial Intelligence tools and tools that use Artificial Intelligence with interactive multimedia techniques.

The research works presented in this regular issue cover different fields of application such as medicine, industry or education, proposing solutions based on various topics of interest, as for example: neural networks, neuro-fuzzy systems, case-based reasoning systems, image retrieval, classification, feature selection, meta-heuristics, constraint satisfaction, or knowledge-based systems.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals share their research results and report new advances on Artificial Intelligence tools and tools that use Artificial Intelligence with interactive multimedia techniques.

The research works presented in this issue are based on various topics of interest, among which are included: Pattern Recognition, Multimedia Information Retrieval, Knowledge extraction and knowledge mining, Data mining, Intelligent Systems & Artificial Intelligence, Wireless Technology, Network Telecommunication, Security & Network Management, Advanced Network Technologies. 

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

The research works presented in this issue are based on various topics of interest, among which are included: SVM and ANN Based Classification, Security in Android, Semantic Data, Planning and Software Agents, Mission Planning, Clustering in Text Mining, Mobile Networks, Weather Radars, Human Activity Recognition, LIF Neurons and DDF, Theft Prevention, Constraint Programming, Measuring Meditations Effects, Neural Networks and Deep Learning.

The International Journal of Interactive Multimedia and Artificial Intelligence provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence and Interactive Multimedia techniques.

Digital information has redefined the way in which both public and private organizations are faced with the use of data to improve decision making. The importance of Big Data lies in the huge amount of data generated every day, especially following the emergence of online social networks (Facebook, Twitter, Google Plus, etc.) and the exponential growth of devices such as smartphones, smartwatches and other wearables, sensor networks, etc. as well as the possibility of taking into account increasingly updated and more varied information for decision making.

With proper Big Data analysis we can spot trends, get models from historical data for predicting future events or extract patterns from user behaviour, and thus be able to tailor services to the needs of users in a better way.

Using Big Data is becoming widespread among organizations of all kinds. It is a fact that large companies, start-ups, government agencies and non-governmental organizations are gradually being encouraged to use microdata generated by digital devices to operate more efficiently. When these microdata are aggregated they turn into massive amounts of data which require specialized tools and skills to be managed.

The challenge organizations are facing is that the increasing amount of data is too large or too unstructured to be managed and analysed with traditional methods. Think of the data derived from the sequence of clicks from the Web, social media content - tweets, blogs, Facebook wall postings (Facebook alone accounts for more than 1 billion active users generating social interaction content. Google processes on average over 53 thousand search queries per second, making it over 4.6 billion in a single day) - or radio frequency identification systems, which generate up to a thousand times more data than conventional barcode systems (12 million RFID tags – used to capture data and track movement of objects in physical world – had been sold in by 2011. By 2021, it is estimated that that number will have risen to 209 billion. Walmart manages more than 1 million customer transactions per hour). In the World 10.000 payment card transactions are recorded every second. The amount of data transferred over mobile networks increased by 81% to 1.5 Exabyte per month between 2012 and 2014. More than 5 billion people make phone calls, send text messages and surf the Internet with mobile phones. Every day they send 340 million tweets (4.000 per second!). To date they’ve generated 2.5 trillion bytes of data. However, very little of this information is in the form of rows and columns of traditional databases.