Ali Sayyed

ORCID: 0000-0001-8373-3135
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Opportunistic and Delay-Tolerant Networks
  • Mobile Ad Hoc Networks
  • Energy Efficient Wireless Sensor Networks
  • Indoor and Outdoor Localization Technologies
  • Advanced Software Engineering Methodologies
  • Robotics and Sensor-Based Localization
  • AI in cancer detection
  • UAV Applications and Optimization
  • IoT-based Smart Home Systems
  • Context-Aware Activity Recognition Systems
  • Tactile and Sensory Interactions
  • Fire Detection and Safety Systems
  • Water Systems and Optimization
  • IoT and Edge/Fog Computing
  • Vehicular Ad Hoc Networks (VANETs)
  • Retinal Imaging and Analysis
  • Cutaneous Melanoma Detection and Management
  • Simulation-Based Education in Healthcare
  • Health Literacy and Information Accessibility
  • Digital Imaging for Blood Diseases
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Advanced Steganography and Watermarking Techniques
  • Interconnection Networks and Systems
  • ICT in Developing Communities

CECOS University
2017-2021

Bangladesh University of Engineering and Technology
2019-2020

Universidade Federal de Santa Catarina
2015-2017

Polytechnic University of Turin
2013

Deep neural network is an effective choice to automatically recognize human actions utilizing data from various wearable sensors. These networks automate the process of feature extraction relying completely on data. However, noises in time series with complex inter-modal relationships among sensors make this more complicated. In paper, we have proposed a novel multi-stage training approach that increases diversity accurate recognition by combining varieties features extracted diverse...

10.1109/jsen.2020.3015781 article EN IEEE Sensors Journal 2020-08-11

The use of Artificial Intelligence, especially machine learning and artificial neural networks, has dramatically increased in urology, assisting innovative ways for diagnosis, prognosis, treatment planning. This paper presents an up-to-date review AI advances the field urology that pertain to its imaging aspects, particularly regarding diagnosis prostate cancer, kidney stones, bladder cancer. deep methods, convolutional proved be very effective many medical tasks, such as automated abnormal...

10.62019/abbdm.v5i1.297 article EN Deleted Journal 2025-02-18

The use of mobile nodes to collect data in a Wireless Sensor Network (WSN) has gained special attention over the last years. Some researchers explore Unmanned Aerial Vehicles (UAVs) as node for such data-collection purposes. Analyzing these works, it is apparent that used scenarios are typically equipped with at least two different radio interfaces. present work presents Dual-Stack Single-Radio Communication Architecture (DSSRCA), which allows UAV communicate bidirectional manner WSN and...

10.3390/s150923376 article EN cc-by Sensors 2015-09-16

Malaria, a life-threatening disease, takes millions of lives every year all over the world. Early detection malaria can be an effective way to right with this disease. This study investigates effectiveness combination convolutional and capsule network detect parasite in red blood cells terms standard evaluation metrics. The proposed architecture achieves higher accuracy comparison different existing neural networks. method also shows stable case ratios train test set separation. attains...

10.1109/spicscon48833.2019.9065074 article EN 2019-11-01

All pregnant women need easy access to pregnancy-related personalized information, on-time quality healthcare services and effective communication links with providers. Smartphone-based devices, systems eHealth applications can play an important role in facilitating some of these a fast efficient way thus prevent most the complications. The objective this work is propose design pregnancy care network for model, application based on smartphone-based devices systems, designed strengthen...

10.3390/technologies5040080 article EN cc-by Technologies 2017-12-07

Introducing mobility in some of the components WSN is one promising techniques for improving performance network terms connectivity, lifetime, data collection and latency. Deliberate controlled mobility, when best adjusted trajectory speed, enhance to a desired level. This paper focus on implementation details analysis controlling fine tuning speed mobile collector WSNs. We consider sensor where nodes are deployed organized into clusters basis distance from each other. Nodes sense their...

10.1109/icet.2015.7389213 article EN 2015-12-01

The development of information and communication technologies the accessibility mobile devices has increased possibilities teaching learning process anywhere anytime. Mobile web application allows production constructive models in various educational settings, showing potential for active health. objective this study was to present design an technology (SavingLife, a web, mobile-based application) cardiopulmonary resuscitation advanced cardiovascular life support adults. SavingLife is...

10.3390/educsci8020078 article EN cc-by Education Sciences 2018-06-01

This paper presents the design methodology and implementation of a low cost autonomous robot prototype that can detect presence fire from its surroundings take necessary measure to extinguish it. Using mounted camera, this takes continuous video feed which is used for detecting in premises. For fire, an image processing algorithm was developed it tested with database created by authors. After being confirmed at direction, aligns itself direction moves toward place. reaching there cross check...

10.1109/tensymp46218.2019.8971157 article EN 2017 IEEE Region 10 Symposium (TENSYMP) 2019-06-01

Requirements for digital watermarking are mainly application dependent. Robustness is one of the main requirements many applications. In this paper a blind discrete wavelet transform (DWT) based video algorithm copyright protection proposed. We have embedded meaningful watermark invisibly into uncompressed video. The in high frequency sub-band coefficients DWT to improve invisibility marked sequence. first scrambled and then encoded minimize error probabilities during detection. applied 2-D...

10.1109/iciet.2007.4381321 article EN International Conference on Information and Emerging Technologies 2007-07-01

In recent past, the world has witnessed astounding growth of immersive video technology because its unique features like self directed control view and feeling presence. Day by day is ushering dominance in almost everywhere, specially education, sports, digital marketing film making. Everyday such applications are being experienced numerous people all over but there still many unfortunate who have no access to emerging field their lack body except eye. An eye gaze controlled navigating...

10.1109/r10-htc47129.2019.9042470 article EN 2019-11-01

Localisation of sensor nodes deployed randomly is one the most challenging issues in wireless networks. Position information helps effective coverage, routing, data collection, target tracking, and event detection. This paper describes a localisation scheme where an unmanned aerial vehicle (UAV) equipped with global positioning system (GPS) unit scans sensing field while periodically broadcasting its current position. The estimate three boundary points on communication circle then, using...

10.1504/ijsnet.2017.087896 article EN International Journal of Sensor Networks 2017-01-01

Mobile wireless sensor networks (MWSNs), a special class of WSN in which one or more elements the network is mobile, has been extensively studied over past 15 years. In MWSNs, mobility plays an important role improving performance terms connectivity, lifetime, and data collection. We exploit controlled to develop smart collection scheme MWSNs. consider where static nodes are deployed organized into clusters on basis distance from each other. These sense their environment transmit...

10.1109/wmnc.2016.7543923 article EN 2016-07-01

The recent outbreak of COVID-19 has halted the whole world, bringing a devastating effect on public health, global economy, and educational systems. As vaccine virus is still not available, most effective way to combat testing social distancing. Among all other detection techniques, Chest X-ray (CXR) based method can be good solution for its simplicity, rapidity, cost, efficiency, accessibility. In this paper, we propose CovMUNET, which multiple loss deep neural network approach detect cases...

10.48550/arxiv.2007.14318 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Asynchronous circuit design is enjoying resurgence in the digital world, with many recent technical and practical advancements improvements. The advantages of asynchronous systems over synchronous are promising. opportunity to implement high performance data-paths very attractive by exploiting fact that most data-path modules have data dependent delays. In other words they compute result faster than worst case under input combinations. Therefore making common fast, potential outperform...

10.1109/socc.2013.6749699 article EN 2013-09-01

Recently, research on vehicular ad hoc networks (VANETs) has gained momentum all over the world. These emerging promise to make our driving experience more efficient, safer, comfortable, and enjoyable. VANETs have potential support a wide range of interesting applications. One such promising application area is discovery roadside services highways. Drivers need an efficient way find these during their journeys. However, due unique features VANETs, design implementation applications...

10.3906/elk-1802-175 article EN TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2019-05-15

Localisation of sensor nodes deployed randomly is one the most challenging issues in wireless networks. Position information helps effective coverage, routing, data collection, target tracking, and event detection. This paper describes a localisation scheme where an unmanned aerial vehicle (UAV) equipped with global positioning system (GPS) unit scans sensing field while periodically broadcasting its current position. The estimate three boundary points on communication circle then, using...

10.1504/ijsnet.2016.10001280 article EN International Journal of Sensor Networks 2016-01-01

The Smart City vision is becoming a reality with the widespread adaption of Internet Things (IoT). In this context, several architectural styles like service-oriented and microservice architecture have widely been used in development IoT-based systems. However, less amount work done for system recognition systems (SoS) as its unique features such operationally administratively independence has considered new trend distributed software collaboration SoS independent helps to build larger more...

10.30534/ijeter/2021/14932021 article EN International Journal of Emerging Trends in Engineering Research 2021-03-05

Water is a mandatory need for all human beings. Without water, life not possible. The increasing population of the world has an inverse relationship with availability clean water. It used different purposes e.g., drinking, washing, cooking, agriculture, industries, etc. one precious natural resources. Unfortunately, excessive use and wastage lead to serious circumstances other consumers. major causes are overflow in overhead tanks, damaged pipelines, open faulty water taps valves,...

10.30534/ijeter/2021/15932021 article EN International Journal of Emerging Trends in Engineering Research 2021-03-05

Being an important application of the Internet Things, smart spaces are increasingly developed throughout world for different purposes ranging from home automation to grids. Despite considerable focus given practical development spaces, there few attempts utilizing formal methods in this domain. Especially, requirements developing a space have not yet been formally specified, best authors’ knowledge. To fill gap, specification approach is presented paper development. The proposed first...

10.30534/ijatcse/2021/091012021 article EN International Journal of Advanced Trends in Computer Science and Engineering 2021-02-15
Coming Soon ...