Farzad Kiani

Security approaches in wireless sensor networks due to limitation of energy and resource are different from traditional protocols in current networks. So, many security problems exist such as authentication, integrity, digital signature and etc., and there has been relatively little research suited for wireless sensor networks. We proposed an enhan...

In this paper, in order to increase wireless sensor network life time, protocol with dynamic clustering is suggested. Because this network have got limited energy, therefore the energy issue is very important. The new protocol is proposed in two phases, cluster setup and steady state. This phase consist of creating cluster, dynamic distribution of...

The most straight forward approach to requirements elicitation is to provide a direct transformation from the user's task descriptions to analysis models. A detailed description of tasks is formalized in ontology. Using the task ontology it is possible to create templates to facilitate transforming tasks to both use cases and data flow diagrams. In...

In this paper, a dynamic clustering for saving energy for wireless sensor network suggested. Our goal is to decrease the probability of missing the target and to increase the tracking exactness. First phase is consisting of selecting cluster head and creating clusters. In the next phase, new creating cluster based on moving targets. So that cluster...

In wireless sensor networks energy is a very important issue because these networks consist of lowpower sensor nodes. This paper proposes a new protocol to reach energy efficiency. The protocol has a different priority in energy efficiency as reducing energy consumption in nodes, prolonging lifetime of the whole network, increasing system reliabili...

Introduction: Climate change is a key driver of human migration, particularly in regions facing resource scarcity and extreme weather events. Understanding migration patterns is essential for effective policy responses. Objectives: This multidisciplinary study applies data mining techniques to identify key environmental and socioeconomic factors in...

In Internet of Things (IoT) systems that use various and limited devices, efficient use of resources is critical. However, since this problem is inherently complex, an enhanced meta-heuristic approach is proposed. In this paper, a new method called Reverse Gauss Ant Colony Algorithm (RG-ACA) is suggested for the design of efficient routing protocol...

This study provides an in-depth review and analysis of the nature-inspired Sand Cat Swarm Optimization (SCSO) algorithm. The SCSO algorithm effectively focuses on exploring solution areas inspired by sand cat hearing and finding the most suitable solutions for their hunting behavior. This algorithm is easily adaptable to various problems due to its...

The Oil and Gas (O&G) supply chain, vital for energy delivery, faces challenges such as excessive paperwork, limited transparency, and sustainability issues due to conventional governance methods. This study develops a decision support framework for evaluating blockchain deployment strategies in the sector, focusing on cost, profit, and income. The...

This study provides an in-depth review and analysis of the Artificial Rabbit Optimization (ARO) algorithm inspired by the survival strategies of rabbits. The ARO tries to find the global solution in the search space according to the rabbits’ detour foraging strategy and searches locally according to their random hiding structure. This algorithm has...

The widely recognized measure for resources called resource strength (RS) does not fully capture the resources complexity of a project. Therefore, it cannot be used as a standalone measure to distinguish the complexity of various instances of project scheduling problems. Consequently, additional resource measures such as total amount of overflow (T...

Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of software before the testing phase is one method for enhancing software reliability. The ability to predict and identify the faulty modules of software can lower software testing costs. Machine...

SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the application's database. SQL injection attacks can be detected using machine learning algorithms. The effective features should be employed in the training stage to develop an optimal classifier with optimal accuracy. Identify...

The process of software development is incomplete without software testing. Software testing expenses account for almost half of all development expenses. The automation of the testing process is seen to be a technique for reducing the cost of software testing. An NP-complete optimization challenge is to generate the test data with the highest bran...

This ongoing work is vehemently dedicated to the investigation of a class of ordinary linear Volterra type integro-differential equations with fractional order in numerical mode. By replacing the unknown function by an appropriate multilayered feed-forward type neural structure, the fractional problem of such initial value is changed into a course...

The number of detected bugs by software test data determines the efficacy of the test data. One of the most important topics in software engineering is software mutation testing, which is used to evaluate the efficiency of software test methods. The syntactical modifications are made to the program source code to make buggy (mutated) programs, and...

In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently introduced SCSO with the concept of chaos. The basic aim of the proposed algorithm is to integrate the chaos feature of non-recurrin...

The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced metaheuristic with balanced behavior in the exploration and exploitation phases. However, it is not fast in convergence and may not be successful in finding the global optima, especially for complex problems since it starts the exploitation phase late. Moreover, the performan...

Alzheimer's disease (AD) and major depressive disorder (MDD) are comorbid neuropsychiatric disorders that are among the leading causes of long-term disability worldwide. Recent research has indicated the existence of parallel molecular mechanisms between AD and MDD in the dorsolateral prefrontal cortex (DLPFC). However, the premorbid history and mo...

In this study, a new hybrid method is proposed by using the advantages of Grey Wolf Optimizer (GWO) and Moth-Flame Optimization (MFO) algorithms. The proposed hybrid metaheuristic algorithm tries to find the near-optimal solution with high efficiency by using the advantage of both algorithms. At the same time, the shortcomings of each will be elimi...

In this paper, we consider a conformable fractional differential equation with a constant coefficient and obtain an approximation for this equation using the Radu–Mihet method, which is derived from the alternative fixed- point theorem. Considering the matrix-valued fuzzy k-normed spaces and matrix-valued fuzzy H-Fox function as a control function,...

The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and its approximation. In an effort to elaborate the study, formulas are designed for computing the ameliorated approximation by usin...

Management of traffic emergencies has become very popular in recent years. However, timely response to emergencies and recovering from an emergency is an important problem in itself. The strategies in the current studies merely suggest that after an emergency vehicle passes, the state should iterate to the next phase. Therefore, this paper proposes...

The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient method to solve this problem without the need for predefined circumstances about the environments independent of terrain. The proposed method is based on a metaheuristic algorithm and mimics the grey wolf optimizer (GWO) algorithm....

Efficient resource use is a very important issue in wireless sensor networks and decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can achieve this goal. However, since this problem is a Non-deterministic Polynomial-time (NP-hard) problem type, metaheuristic algorithms can be used. This article proposes two new energy...

Background Colorectal cancer (CRC) is the third most frequent kind of cancer globally, making it a significant public health problem. This project aims to construct a network to uncover potential biomarkers for diagnostic reasons, prospective EDCs for preventative applications, and potential drugs for therapeutic purposes in early-stage CRC. Resul...

Background: In the current generation, infertility is one of the leading reasons for relationship problems. Infertility is defined as having active intercourse without the use of birth control pills on a yearly basis not resulting in zygote development and fertilization. Methods: In the current study, genes associated to male infertility were colle...

Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed...

Lung cancer is the most common cancer in men and women. This cancer is divided into two main types, namely non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). Around 85 to 90 percent of lung cancers are NSCLC. Repositioning potent candidate drugs in NSCLC treatment is one of the important topics in cancer studies. Drug repositioni...

The Matlab Code of Sand Cat Swarm Optimization (SCSO) is available at here or on https://ch.mathworks.com/matlabcentral/fileexchange/110185-sand-cat-swarm-optimization

This study proposes a new metaheuristic algorithm called sand cat swarm optimization (SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are able to detect low frequencies below 2 kHz and also have an incredible ability to dig for prey. The proposed algorithm, inspired by these two features, consists of two main ph...

The increasing need for food in recent years means that environmental protection and sustainable agriculture are necessary. For this, smart agricultural systems and autonomous robots have become widespread. One of the most significant and persistent problems related to robots is 3D path planning, which is an NP-hard problem, for mobile robots. In t...

Modern time microwave stages require low power consumption, low size, low-noise amplifier (LNA) designs with high-performance measures. These demands need a single transistor LNA design, which is a challenging multi-objective, multi-dimensional optimization problem that requires solving objectives with non-linear feasible design target space, that...

The performance of a model in machine learning problems highly depends on the dataset and training algorithms. Choosing the right training algorithm can change the tale of a model. While some algorithms have a great performance in some datasets, they may fall into trouble in other datasets. Moreover, by adjusting hyperparameters of an algorithm, wh...

Reverse engineering is used for extracting and understanding software architecture models from source code when the source code is the only available software product. Software module clustering is a reverse engineering method which decomposes software modules into several clusters (subsystems) by using module dependency graph. Finding the best clu...

Purpose Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, it is extremely vital to choose efficient and suitable cluster head (CH) elements in these structures to harness their benefits....

RNA-protein interactions of a virus play a major role in the replication of RNA viruses. The replication and transcription of these viruses take place in the cytoplasm of the host cell; hence, there is a probability for the host RNA-viral protein and viral RNA-host protein interactions. The current study applies a high-throughput computational appr...

Efficient and collision-free pathfinding, between source and destination locations for multi-Unmanned Aerial Vehicles (UAVs), in a predefined environment is an important topic in 3D Path planning methods. Since path planning is a Non-deterministic Polynomial-time (NP-hard) problem, metaheuristic approaches can be applied to find a suitable solution...

This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find a global optimum avoiding the local optima trap. Compared to the classical metaheuristic approaches, the proposed algorithms disp...

This book aims to teach the essential principles of statistics in biosciences and bioinformatics. However, researchers in all fields that deal with data need this knowledge. In this book, we have tried to explain the contents as clearly as possible. Each section consists of a simple theoretical explanation, examples from bioinformatics or daily lif...

Three-dimensional path planning for autonomous robots is a prevalent problem in mobile robotics. This paper presents three novel versions of a hybrid method designed to assist in planning such paths for these robots. In this paper, an improvement on Rapidly exploring Random Tree (RRT) algorithm, namely Adapted-RRT, is presented that uses three well...

Voluntary or compulsory immigration of people to other regions or countries for different reasons can lead to social, cultural, and economic problems. In recent years, especially the rate of forced migration has increased and it is sometimes chosen as a last resort for social mobilization. Scientists and governments who have gathered data on migrat...

Today, the outbreak of the coronavirus has become a major global crisis and has affected many countries. One of the consequences of the spread of this virus is the creation of social panic and rapid changes in people's lifestyles, which the social networks are noticing. The impact of social media, which plays an effective role even in people's life...

IoT (Internet of Things) ya da diğer adıyla Nesnelerin İnterneti kavramı, internete bağlanan ve diğer cihazlarla iletişimde olan her nesneyi kapsamaktadır. Artık hayatımızın bir parçası haline gelecek otonom araçlar, akıllı buzdolabılar, akıllı çamaşır makineleri, akıllı tost makineleri, akıllı saatler gibi birçok IoT cihazı birbiriyle farklı kablo...

In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions close to each other. Therefore, as they catch the hunt (approaching the solution), they may create an intensity in the same or c...

Efficient energy consumption is one of the main problems in wireless sensor networks routing protocols. Since the sensor nodes have limited battery level and memory space, it is important to manage these resources efficiently. Although there are studies in this subject in recent years, it is lacking in concurrent and real-time environments with mul...

Design and development of legged robots that can navigate effectively and autonomously in a wide range of environments is a challenging problem. At that point it should be noted that nature inspired optimization techniques have been widely studied for autonomous navigation of legged robots. In this study the framework constructed for six-legged wal...

In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network lifetime. Along with this remarkable growth in wireless sensor networks, however, there is an increasing concern over network life...

In this paper, we present a new IoT system to control electricity consumption in homes. The main goal of the proposed system is smart homes and devices. IoT systems also benefit sensor nodes and other heterogeneous things to work cooperatively. Wireless sensor network also has the main effect in the IoT projects. In the Proposed system, there are d...

Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable structural feature extraction tool has been designed. Therefore, an online toolbox, named RPINBASE which can be applied to differe...

Wireless sensor networks have gained the attention of researchers from various fields due to increased applicability. This has thus led to rapid development in the field. However, these networks still suffer from various challenges and limitations. These range from computation and processing power and available energy to mention but a few. These pr...

Despite the rapid improvement in mobile devices, overall gradual growth in the ubiquitous computing field, the wide applicability, more usefulness of location based services in general and indoor navigation. The Global Positioning System (GPS) has undergone tremendous improvement since the 1900s and it, indeed is considered one of the most successf...

In recent times, popularity of blockchain based crypto currencies (bitcoin and ethereum) have been increased. Blockchain system has decentralized Peer to Peer (P2P) network, all transactions are recorded in a public ledger that can only be appended. The miners constitute the nodes of this network and every miner has local copy of ledger. In blockch...

Today one of the biggest expense items of the enterprises is raw material and stock amounts. Therefore, proper inventory management is very important for the profitability of the enterprises. Products that are not purchased on time cause interruptions in production and products left over because the expiration date has passed will also cause losses...

In recent times, popularity of blockchain and Internet of Things (IoT) have been increased. IoT technology connects everything to the Internet and also provides communication among them and other technologies. This technology changes our life in terms of convenience and efficiency. For this reason, it has many application areas, such as smart homes...

The energy issue is an important parameter in the wireless sensor networks and should be managed in the different applications. We propose a new routing algorithm that it is energy efficient and uses different approaches as dynamic clustering, spanning tree, self-configurable routing and controls energy consuming by data-driven and power management...

In recent years, studies have been conducted on systems based on wireless sensor networks for the detection of animal behaviors. These systems can offer significant information on how to increase the production and animals’ health. They consist of low-cost sensor nodes with limited resources. One of the critical resources is the power unit. These s...

One of the most important and major challenging issues of wireless sensor networks is the tracking of mobile targets. The network continuously reports the spatial information of moving objects during specified periods to the base station. In this paper, by introducing new a protocol with two versions, of which, one of them is based on dynamic clust...

The issue of energy in a wireless sensor network is one of the most important challenges for these networks. This issue is also being considered today in the new IoT topic. This paper studies the ability of the learning automata model to solve the problem in the sensor networks. Because they have capabilities such as low computational load, ability...

This article presents a method to forecast and make decision on weather condition. In most of the cities around the world, people try to decide on leisure activities on their spare time but weather condition would not be suitable for them. By this fact, we suggest a solution to solve this problem with ANN. Therefore, users of our proposed method ca...

Internet of Things is one of the most popular subjects nowadays where sensors and smart devices facilitate the provision of information and communication. In IoT, one of the main concepts is wireless sensor networks in which data is collected from all the sensors in a network characterized by low power consumption and a wide range of communication....

Günümüzde bazı problemlerin oldukça karmaşık olması, sıradan algoritmalarla çözümlenemeyecek derecelere ulaşabilmektedir. Bu sebeple daha zeki algoritmalara ihtiyaç duyulmaktadır. Metin tanıma, karakter tanıma, yüz tanıma, parmak izi tanıma gibi problemlerin çözümlerinde yapay sinir ağları sıklıkla kullanılmaktadır. Bu çalışmada metin türü belirlem...

Konuşma tanıma, günümüzde insan hayatını kolaylaştıran teknolojiler göz önüne alındığında bilim dünyasında ağırlık verilen konulardandır. Bu alanda konuşma içerisinden konuşmacıya ait bilgilerin tespit edilmesi artan güvenlik önlemleriyle ilgi çeken bir konu olmuştur. Bu çalışmada da konuşma tanıma için gerekli aşamalar ve teknikler incelenmiştir....

Text summarization is compress the source text into a diminished version conserving its information content and overall meaning. Because of the great amount of the information we are provided it and thanks to development of Internet Technologies, text summarization has become an important tool for interpreting text information. Text summarization m...

Computer systems and personal health applications. There is a primary research area that makes a difference in wireless sensor network (WSN) technologies to improve the quality of life. The current development of WBAN and IWBAN systems provides advantages and disadvantages and a snapshot for future work. The role of WBAN technology in the maintenan...

2017

Kablosuz Algılayıcı Ağlar, çok sayıda düşük güçlü sensör düğümünden oluşan ve değişkenlik gösterebilen ağlardır. Bu makalede, yeni anahtar yönetim metodu ile çeşitli saldırılara karşı iki güvenli yönlendirme protokolü önerilmektedir. Bu protokoller iki farklı ortamları için önerilmektedir. Birinci protokol küçük/orta ölçekli ağlara, ikinci protokol...

In recent decade’s digital age and technology changing world rapidly, we spend the most of our time in traffic in metropolitan cities such as Istanbul due to car and population growth. Some problems caused traffic in highways like: car trouble, car accident and climatic reasons. This problems can be solved by using technology in all circumstances....

Channel allocation in the wireless sensor networks is one of the important issues, and these networks must allocate shared channels between sensor nodes in the transmission phase. This paper proposes a novel protocol for channel allocation, so it focuses on energy efficiency and collisions avoidance. The main idea of this protocol is based on the G...

In this paper, a novel dynamic routing protocol is proposed so it is suitable for port addition, removal and link/port failures. The proposed protocol is favorable for virtual cellular networks and it does not suffer in the transmit power when it needs to rerouting phase. The transmit power of the proposed rerouting is compared with that of the com...

Energy issue is one of the most important problems in wireless sensor networks. They consist of low-power sensor nodes and a few base station nodes. They must be adaptive and efficient in data transmission to sink in various areas. This paper proposes an aware-routing protocol based on clustering and recursive search approaches. The paper focuses o...

Arithmetic grids are a new instance in distributed and parallel computing systems. They can realize a virtual supercomputer over idle resources available in a wide area network like the Internet. The grids are characterized for exploiting highly heterogeneous resources. They focus on arithmetic grids to reach high performance by using effective map...

In wireless sensor networks, energy is very important issue because these networks are consisting of low-power sensor nodes. The book reviews on current routing protocols and energy efficiency methods. Then, it proposes new three routing protocols to reach energy efficiency. The protocols have different priority in energy efficiency as reduction en...

In wireless sensor networks, energy is very important issue because these networks are consisting of low-power sensors. The thesis proposes three new protocols to reach energy efficiency. The first protocol is based on dynamic clustering and tree structure to increase lifetime of network. The protocol has two phases. The first is deployment of clus...

In this paper, Energy Effective-Accuracy Routing (EEAR) protocol is suggested for wireless sensor networks on the basis of energy saving while communication between sensor nodes on the whole network EEAR can conserve energy until keeping communication and routes leading to sink, by data-center gradient diffusion routing protocol. This is realizing...

In this paper, Increase lifetime network by Q-learning technique. Because WSAN have limitations such as energy and size therefore concern on the factor. We have good results with merge tree structure and reinforcement learning. In first phase, network establishes by using the prim algorithm then routing are using Q-value parameter. Cluster head nod...

In this paper, for decrease transmissions delay in wireless sensor network, a distributed algorithm (DATS) suggested. Because this network have got limited energy, therefore the energy issue is very important. The exist protocols due to have transmission delay in sending data among nodes cause increase consuming energy in network. DATS because of i...