Mohammad Trik

ORCID: 0000-0003-4103-6598
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Memory and Neural Computing
  • Interconnection Networks and Systems
  • IoT and Edge/Fog Computing
  • Image and Video Quality Assessment
  • CCD and CMOS Imaging Sensors
  • Caching and Content Delivery
  • Software-Defined Networks and 5G
  • Advanced MIMO Systems Optimization
  • Neuroscience and Neural Engineering
  • IoT Networks and Protocols
  • VLSI and Analog Circuit Testing
  • 3D IC and TSV technologies
  • Advanced Technologies in Various Fields
  • Complex Network Analysis Techniques
  • Remote-Sensing Image Classification
  • Analog and Mixed-Signal Circuit Design
  • Opinion Dynamics and Social Influence
  • Internet of Things and AI
  • Cutaneous Melanoma Detection and Management
  • Power System Reliability and Maintenance
  • Video Surveillance and Tracking Methods
  • Peer-to-Peer Network Technologies
  • Power Transformer Diagnostics and Insulation
  • Cloud Computing and Resource Management
  • Physical Unclonable Functions (PUFs) and Hardware Security

Islamic Azad University, Boukan
2022-2025

Islamic Azad University North Tehran Branch
2021

One of the necessities mobile networks is uninterrupted access to wireless services, taking into account requirements quality service. With development fifth-generation (5G), high improvements will be achieved in several aspects such as seamless communications, flexibility, scalability, cost-effectiveness, and energy efficiency. For this purpose, 5G architecture, a large amount Small cell Base Stations (SBS) considered cover all users their equipment devices. Due possibility rapid user...

10.1080/01969722.2022.2129375 article EN Cybernetics & Systems 2022-10-06

Networks on chip (NoCs) are an idea for implementing multiprocessor systems that have been able to handle the communication between processing cores, inspired by computer networks. Efficient nonstop routing is one of most significant applications NOC. In fact, there different routes reach from node another in these networks; therefore, should be a function can help build best route destination. current study, new hybrid algorithm scored regional congestion-aware and neighbors-on-path (ScRN)...

10.1155/2022/3112170 article EN Journal of Sensors 2022-04-26

Nowadays, devices generate copious quantities of high-speed data streams due to Internet Things (IoT) applications. For the most part, cloud computing platforms handle and manage all these requests. However, for certain applications, transmission delay that comes with transferring from edge could be unbearable. When there are a lot connected internet, public network actually becomes bottleneck transfer. In this setting, power management, storage, resource service management necessitate more...

10.1016/j.rineng.2024.101780 article EN cc-by-nc-nd Results in Engineering 2024-01-17

Mobile network customers today prefer video news updates than text. However, the conventional cellular base stations may have challenges in simultaneously managing transmission for all users, particularly extensive deployments. To address aforementioned challenge discussed this article, a proposed solution is presented. lessen burden of traffic, we intend to improve efficiency D2D multicast communications. A scalable strategy that accounts user demand and makes use device-to device (D2D)...

10.1080/03772063.2023.2278696 article EN IETE Journal of Research 2023-11-19

In the field of information and communication technology, Internet Things is regarded as a brand-new important technology. The introduction new protocols in this area caused by presence devices these networks with constrained resources relatively low computing power. One most well-known routing for low-power RPL protocol. This algorithm cannot take into account all required goals at once. article introduces proposed data-oriented that divides data during according to their content. can...

10.1016/j.jksuci.2023.101732 article EN cc-by Journal of King Saud University - Computer and Information Sciences 2023-09-04

The phrase "Machine-to-Machine" (M2M) communication has gained widespread usage owing to the growing understanding of Internet Things. In upcoming years, it is anticipated that number M2M devices would rise significantly due growth in applications. Enhancing cellular networks manage and human-to-human (H2H) conversations an ongoing endeavor. Integrating into regular H2H a key objective because steady increase exhibit unique properties traffic. It communications will make use same LTE...

10.1016/j.aej.2024.04.063 article EN cc-by Alexandria Engineering Journal 2024-05-10

Abstract The dynamic nature of distribution networks raises fresh issues with how such electrical systems function. These have some characteristics that indicate the need for better monitoring and control capabilities, including dispersed generation employing renewable resources, changing load profiles, rising reliability requirements. Phasor measurement units (PMUs) offer simultaneous voltage current phasor measurements at various places a variety options gauging condition health power...

10.1049/tje2.12322 article EN cc-by The Journal of Engineering 2024-01-01

As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems hold great promise for enhancing healthcare delivery and illness prevention efforts. These acquire an in-depth understanding patient states through real-time collection analysis medical data enabled by Internet Things (IoT) machine learning. With widespread use cutting-edge artificial intelligence learning techniques, predictive analytics medicine can assist making from reactive to proactive strategy....

10.1016/j.heliyon.2024.e32090 article EN cc-by-nc-nd Heliyon 2024-06-01

The importance of data quality and quantity cannot be overstated in automatic analysis systems. An important factor to take into account is the capability assign a item many classes. In Lithuania, there currently no mechanism for classifying textual that permits allocating multiple Multi-label categorization learning offers multi-dimensional viewpoint objects with several meanings has emerged as prominent area study machine recent times. Within context big data, it imperative develop...

10.1016/j.iswa.2024.200332 article EN cc-by-nc-nd Intelligent Systems with Applications 2024-01-25

Computer vision remains challenged by tracking multiple objects in motion frames, despite efforts to improve surveillance, healthcare, and human-machine interaction. This paper presents a method for monitoring several moving non-stationary settings autonomous navigation. Additionally, at each phase, movement information between successive including the new frame previous frame, is employed determine location of inside camera's field view, background determined. With help matching algorithm,...

10.1016/j.heliyon.2023.e22156 article EN cc-by-nc-nd Heliyon 2023-11-01

Effective and efficient routing is one of the most important parts in NoC‐based neuromorphic systems. In fact, this communication structure connects different units through packets routed by routers switches embedded network on a chip. With help capability, not only high scalability development can be created, but decreasing global wiring to chip level, power consumption reduced. paper, an adaptive algorithm for systems proposed along with hybrid selection strategy. Accordingly, traffic...

10.1155/2021/8338903 article EN cc-by Computational Intelligence and Neuroscience 2021-01-01

Intrusion Detection Systems (IDS) play a crucial role in ensuring network security by identifying and mitigating cyber threats. This study introduces hybrid intrusion detection approach that integrates Convolutional Neural Networks (CNNs) for feature extraction the Random Forest (RF) algorithm classification. The proposed method enhances accuracy leveraging CNNs to automatically extract relevant features, reducing data dimensionality noise. Subsequently, RF classifier processes these...

10.1038/s41598-025-98604-w article EN cc-by-nc-nd Scientific Reports 2025-04-20

Software-Defined Networks are a new architecture of computer networks where network intelligence is logically focused on base software controllers, and hardware becomes simple device that programmable via an interface. Indeed, software-defined bring features such as routing, measurement, monitoring through providing global vision the network. One major challenges in these discussion fault tolerance reliability because if control unit fails for any reason, entire will impair. Therefore, to...

10.33544/mjece.v3i1.143 article EN 2021-02-26
Coming Soon ...