Yazar "Kiani, Farzad" için listeleme
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Advanced Machine Learning Techniques for Predicting Wear Performance in Graphene Oxide Particulate Interpenetrating Polymer Network Composites
Russel, Eastus; Madhu, S.; S., Judy; Varuvel, Edwin Geo; Santhi, G.B.; Suresh, G.; J.S, Femilda Josephin; Albeshr, Mohammed F.; Kiani, Farzad (Elsevier, 2025)This research investigates the wear behavior of hybrid polymeric composites made from synthetic glass and natural cotton fibers, reinforced with varying proportions of Graphene Oxide (GO) (0 %, 1 %, 3 %, 5 %, 7 %, 9 %). ... -
Analyzing EEG Data During Opium Addiction Treatment Using a Fuzzy Logic-Based Machine Learning Model
DehAbadi, Elnaz; Anka, Fateme Ayşin; Vafaei, Fateme; Lanjanian, Hossein; Nematzadeh, Sajjad; Afshar, Mahsa Torkamanian; Aghahosseinzargar, Nazanin; Kiani, Farzad; Abharian, Peyman Hassani (Frontiers, 2025)Background: Reliable noninvasive tools for assessing substance abuse treatment and predicting outcomes remain a challenge. We believe EEG-derived complexity measures may have a direct link to clinical diagnosis. To this ... -
A Bedbug Optimization-Based Machine Learning Framework for Software Fault Prediction
Aresteh, Bahman; Sefati, Seyed Salar; Popovici, Eduard-Cristian; İnce, İbrahim Furkan; Kiani, Farzad (MDPI, 2025)Predicting software faults and identifying defective modules is a significant challenge in developing reliable software products. Machine Learning (ML) approaches on the historical fault datasets are utilized to classify ... -
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
Allahviranloo, Tofigh; Saneifard, Rasoul; Saneifard, Rahim; Kiani, Farzad; Noeiaghdam, Samad; Govindan, Vediyappan (Hindawi Limited., 2022)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 ... -
A Bioinspired Discrete Heuristic Algorithm to Generate the Eeffective Structural Model of a Program Source Code
Arasteh, Bahman; Sadegi, Razieh; Arasteh, Keyvan; Gunes, Peri; Kiani, Farzad; Torkamanian-Afshar, Mahsa (Elsevier, 2023)When the source code of a software is the only product available, program understanding has a substantial influence on software maintenance costs. The main goal in code comprehension is to extract information that is ... -
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
Arasteh, Bahman; Arasteh, Keyvan; Kiani, Farzad; Sefati, Seyed Salar; Fratu, Octavian; Halunga, Simona; Tirkolaee, Erfan Babaee (MDPI, 2024)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 ... -
Chaotic Sand Cat Swarm Optimization
Kiani, Farzad; Nematzadeh, Sajjad; Anka, Fateme Ayşin; Fındıklı, Mine Afacan (MDPI, 2023)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 ... -
A Deep Learning Multi-feature Based Fusion Model for Predicting The State of Health of Lithium-ion Batteries
Sonthalia, Ankit; Josephin, J.S. Femilda; Varuvel, Edwin Geo; Chinnathambi, Arunachalam; Subramanian, Thiyagarajan; Kiani, Farzad (Elsevier, 2025)Lithium-ion batteries have become the preferred energy storage method with applications ranging from consumer electronics to electric vehicles. Utilization of the battery will eventually lead to degradation and capacity fade. ... -
Detecting SQL Injection Attacks by Binary Gray Wolf Optimizer and Machine Learning Algorithms
Arasteh, Bahman; Aghaei, Babak; Farzad, Behnoud; Arasteh, Keyvan; Kiani, Farzad; Torkamanian-Afshar, Mahsa (Springer, 2024)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. ... -
DSPCI-MTL: Dynamic Split Point Computing in Multi-task Learning Implementation with Collaborative Intelligence
Şahin, M.Faruk; Yeganli, S. Faegheh; Kiani, Farzad (Elsevier, 2025)Deep Neural Networks (DNNs) have become a crucial technology in image processing, renowned for their ability to generate effective feature maps. The integration of DNNs within Internet of Things (IoT) environments, ... -
Examining the Effective Role of Artificial Intelligence in the Interconnected Crisis of Climate Change and Human Migration
Anka, F.Aysin; Erenel, Fahri; Kiani, Farzad (Elsevier, 2025)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. ... -
Existence of a Unique Solution and the Hyers–Ulam-H-Fox Stability of the Conformable Fractional Differential Equation by Matrix-Valued Fuzzy Controllers
Eidinejad, Zahra; Saadati, Reza; Allahviranloo, Tofgh; Kiani, Farzad; Noeiaghdam, Samad; Gamiz, Unai Fernandez (Wıley-Hındawıadam House, 2022)In this paper, we consider a conformable fractional diferential equation with a constant coefcient and obtain an approximation for this equation using the Radu–Mihet method, which is derived from the alternative fxed- ... -
Generating Software Architectural Model from Source Code Using Module Clustering
Arasteh, Bahman; Sefati, Seyed Salar; Kusetoğulları, Hüseyin; Kiani, Farzad (MDPI, 2025)Software maintenance is one of the most expensive phases in software development, especially when complex source code is the only available artifact. Clustering software modules and generating a structured architectural ... -
Hybrid Whale and Artificial Rabbit Optimization for Efficient Multi‑Objective Sensor Deployment in Complex IoT Networks
Kiani, Farzad (Springer Nature, 2025)This paper presents a novel hybrid metaheuristic algorithm, combining Whale Optimization Algorithm (WOA) and Artificial Rabbits Optimization (ARO), to solve the multi-objective sensor node placement problem in dynamic and ... -
Maximizing Coverage and Maintaining Connectivity in WSN and Decentralized Iot: An Efficient Metaheuristic-Based Method for Environment-Aware Node Deployment
Nematzadeh, Sajjad; Torkamanian-Afshar, Mahsa; Seyyedabbasi, Amir; Kiani, Farzad (Springer, 2022)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 ... -
Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
Kiani, Farzad; Seyyedabbasi, Amir (Springer, 2022)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 ... -
A Metaheuristic and Neural Network-Based Framework for Automated Software Test Oracles Under Limited Test Data Conditions
Arasteh, Bahman; Bulut, Faruk; İnce, İbrahim Furkan; Sefati, Seyed Salar; Kusetoğulları, Hüseyin; Kiani, Farzad (Springer, 2025)With the growing complexity of modern software systems, the demand for effective and efficient testing techniques has become an important aspect of the software development process. Software Test Oracles (STOs) play a ... -
A Multi‑Objective Metaheuristic Method for Node Placement in Dynamic LoT Environments
Kiani, Farzad (Springer, 2025)This study introduces an optimal Node Placement based on Enhanced Sand Cat Swarm Optimization (NP-ESCSO) algorithm, a novel metaheuristic approach for solving the node placement problem in dynamic IoT environments. By ... -
A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
Kiani, Farzad; Saraç, Ömer Faruk (Elsevier, 2023)Management of traffic emergencies has become very popular in recent years. However, timely response to emergencies and recovering from an emergency is an important prob- lem in itself. The strategies in the current ... -
A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
Arasteh, Bahman; Gharehchopogh, Farhad Soleimanian; Güneş, Peri; Kiani, Farzad; Torkamanian‑Afshar, Mahsa (Springer Lınk, 2023)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 ...
