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2023 International Conference on Next-Generation Computing, IoT and Machine Learning, NCIM 2023

作者： Ahmed, Marzia Mohamad, Ahmad Johari Rahman, Mostafijur Sulaiman, Mohd Herwan Kashem, Mohammod Abul Faculty of Electrical & Electronics Engineering Technology Pahang Malaysia Daffodil International University Department of Software Engineering Dhaka Bangladesh Green University of Bangladesh Department of Computer Science and Engineering Bangladesh DUET Department of Computer Science and Engineering Gazipur Bangladesh

ISBN: (纸本)9798350316001

Microorganisms may cause illness when they enter the body, multiply, and spread to other parts. The rapid spread of COVID-19 to neighboring countries is examined in this research. Anticipating a positive COVID-19 occurrence helps in determining risks and creating countermeasures. As a result, developing robust mathematical models with small error margins for predictions is crucial. Based on these findings, a combined method of evaluating confirmed cases of COVID-19 with universal immunization is recommended. First, the best hyperparameter values of the RBF kernel-based LSSVM (least square support vector machine) were determined using the most recent Evolutionary Mating Algorithm (EMA). After that, LSSVM will complete the task of prediction. This hybrid method has been utilized for time series forecasting in Malaysia since the country's immunization program against COVID-19 got underway. We evaluate our results next to those of well-known methodologies in nature-inspired metaheuristics. © 2023 IEEE.

关键词： COVID-19

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Metaheuristic Optimization Algorithm for Signals Classification of Electroencephalography Channels

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computers, Materials & Continua 2022年第6期71卷 4627-4641页

作者： Marwa M.Eid Fawaz Alassery Abdelhameed Ibrahim Mohamed Saber Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Electronics and Communications Engineering Faculty of EngineeringDelta University for Science and TechnologyMansoura11152Egypt

Digital signal processing of electroencephalography(EEG)data is now widely utilized in various applications,including motor imagery classification,seizure detection and prediction,emotion classification,mental task classification,drug impact identification and sleep state *** the increasing number of recorded EEG channels,it has become clear that effective channel selection algorithms are required for various *** Whale Optimization Method(Guided WOA),a suggested feature selection algorithm based on Stochastic Fractal Search(SFS)technique,evaluates the chosen subset of *** may be used to select the optimum EEG channels for use in Brain-computer Interfaces(BCIs),the method for identifying essential and irrelevant characteristics in a dataset,and the complexity to be *** enables(SFS-Guided WOA)algorithm to choose the most appropriate EEG channels while assisting machine learning classification in its tasks and training the classifier with the ***(SFSGuided WOA)algorithm is superior in performance metrics,and statistical tests such as ANOVA and Wilcoxon rank-sum are used to demonstrate this.

关键词： Signals metaheuristics optimization feature selection multilayer perceptron support vector machines

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Grape Guard:A YOLO-based mobile application for detecting grape leaf diseases

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Journal of Electronic science and Technology 2025年第1期23卷 60-75页

作者： Sajib Bin Mamun Israt Jahan Payel Md.Taimur Ahad Anthony S.Atkins Bo Song Yan Li Department of Computer Science and Engineering Daffodil International UniversityDhaka1207Bangladesh Department of Computer Science University of Southern QueenslandToowoomba4350Australia Faculty of Digital TechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom School of Engineering University of Southern QueenslandToowoomba4350Australia School of Mathematics Physics and ComputingUniversity of Southern QueenslandToowoomba4350Australia

Grape crops are a great source of income for *** yield and quality of grapes can be improved by preventing and treating *** farmer’s yield will be dramatically impacted if diseases are found on grape *** detection can reduce the chances of leaf diseases affecting other healthy *** studies have been conducted to detect grape leaf diseases,but most fail to engage with end users and integrate the model with real-time mobile *** study developed a mobile-based grape leaf disease detection(GLDD)application to identify infected leaves,Grape Guard,based on a TensorFlow Lite(TFLite)model generated from the You Only Look Once(YOLO)v8 model.A public grape leaf disease dataset containing four classes was used to train the *** results of this study were relied on the YOLO architecture,specifically YOLOv5 and *** extensive experiments with different image sizes,YOLOv8 performed better than ***8 achieved 99.9%precision,100%recall,99.5%mean average precision(mAP),and 88%mAP50-95 for all classes to detect grape leaf *** Grape Guard android mobile application can accurately detect the grape leaf disease by capturing images from grape vines.

关键词： Bacterial diseases Grape Guard Mobile-based application YOLOv5 YOLOv8

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Reliability Evaluation of 4:2 Compressors Based on Hammock Networks 13

Reliability Evaluation of 4:2 Compressors Based on Hammock N...

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13th International Conference on computer and Knowledge engineering, ICCKE 2023

作者： Safaei, Farshad Emadi Kouchak, Mohammad Mahdi Talebpour, Sara Shahid Beheshti University Faculty of Computer Science and Engineering Tehran Iran Islamic Azad University Department of Computer Engineering Science and Research Branch Tehran Iran

ISBN: (纸本)9798350330151

Reliability is defined as the system's ability to remain in its operational state after failure in some of its components. Moore and Shannon introduced a probabilistic model in which network nodes are assumed to be completely reliable, but communication links can fail with a specified and assumed probability like p. The main problem is to determine the probability that the said network will remain connected under these conditions. They proposed their reliability analysis on specific networks known as hammock networks. These networks are fitted to circuits with array structures such as FinFET, VSFET, MOSFET, NEMS, and carbon nanotubes. In this article, we leverage combinations of hammock networks to design and implement MOS-based transistors, specifically nMOS and pMOS. Our focus is on evaluating the reliability of 4:2 compressors designed using these networks. The resulting designs excel in terms of time efficiency, occupied area, and power consumption. Within this context, the compressor takes four inputs, intended for addition, and generates two outputs, referred to as sum and carry. Diverse circuit models can be configured for the compressor's internal circuit, each exhibiting differences in speed, power efficiency, and physical footprint. By employing simulation results, we extract several efficiency and reliability metrics for all networks and circuits, meticulously comparing and analyzing their reliability. © 2023 IEEE.

关键词： Compressors

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A new robust predictive model for lost circulation rate using convolutional neural network:A case study from Marun Oilfield

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Petroleum 2023年第3期9卷 468-485页

作者： Farshad Jafarizadeh Babak Larki Bamdad Kazemi Mohammad Mehrad Sina Rashidi Jalil Ghavidel Neycharan Mehdi Gandomgoun Mohammad Hossein Gandomgoun Department of Petroleum Engineering Amirkabir University of TechnologyTehranIran Department of Petroleum Engineering Omidiyeh Branch of Islamic Azad UniversityOmidiyehIran Science and Research Branch Islamic Azad UniversityTehranIran Faculty of Mining Petroleum and Geophysics EngineeringShahrood University of TechnologyShahroodIran Department of Information Technology and Computer Engineering Shahid Madani University of AzerbaijanTabrizIran Faculty of Petroleum Engineering Sahand University of TechnologyTabrizIran

A major cause of some of serious issues encountered in a drilling project,including wellbore instability,formation damage,and drilling string stuck e which are known to increase non-productive time(NPT)and hence the drilling cost e is what we know as mud *** mud loss can be prevented or at least significantly reduced by taking proper measures beforehand provided the position and intensity of such loss can be properly predicted using an accurate predictor ***,in this study,we used the convolutional neural network(CNN)and hybridized forms of multilayer extreme learning machine(MELM)and least square support vector machine(LSSVM)with the Cuckoo optimization algorithm(COA),particle swarm optimization(PSO),and genetic algorithm(GA)for modeling the mud loss rate based on drilling data,mud properties,and geological information of 305 drilling wells penetrating the Marun *** this purpose,we began by a pre-processing step to attenuate the effect of noise using the Savitzky-Golay *** whole set of available data was divided into the modeling(including 2300 data points)and the validation(including 483 data points)***,the second generation of the non-dominated sorting genetic algorithm(NSGA-Ⅱ)was applied to the modeling data to identify the most significant features for estimating the mud *** results showed that the prediction accuracy increased with the number of selected features,but the increase became negligible when the number of selected features exceeded ***,the following 9 features were selected as input to the intelligent algorithms(IAs):pump pressure,mud weight,fracture pressure,pore pressure,depth,gel 10 min/gel 10 s,fan 600/fan 300,flowrate,and formation *** of the hybrid algorithms and simple forms of LSSVM and CNN to the training data(80%of the modeling data,i.e.1840 data points)showed that all of the models tend to underestimate the mud loss at higher mud loss rates,although the CNN exhibited l

关键词： Lost circulation prediction Artificial intelligence Deep learning Feature selection

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Studying Physical Properties of Gas-To-Liquid Compared with Mineral Oil under Accelerated Thermal Aging 25

Studying Physical Properties of Gas-To-Liquid Compared with ...

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25th International Middle East Power System Conference, MEPCON 2024

作者： Badawi, Mohamed Ibrahim, Shimaa A. Mansour, Diaa-Eldin A. El-Faraskoury, Adel Ward, Sayed A. Benha University Faculty of Engineering at Shoubra Department of Electrical Engineering Egypt Egypt-Japan University of Science and Technology School of Electronics Communications and Computer Engineering Electrical Power Engineering Department Alexandria Egypt Tanta University Faculty of Engineering Electrical Power and Machines Engineering Department Tanta Egypt Egyptian Electricity Holding Company Extra High Voltage Research Centre Egypt Delta University for Science and Technology Faculty of Engineering Department of Electrical Engineering Egypt

ISBN: (纸本)9798350379648

Mineral oil (MO) has long been utilized in high-voltage power transformers, as a cooling and dielectric medium;because of it is availability as it is extracted from fossil oil. Recently, Gas-To-Liquid (GTL) has a significant increase in use due to its superior performance, its purity and chemical consistency over conventional mineral oils. This paper presents examination of the temperature effects on mineral (Diala S2) and gas to liquid (Diala S4) oil physical properties. Fresh oil and aged oil samples, of the two oil types, have been tested in this paper. Accelerated thermal aging test have been conducted in laboratory to simulate the heat stress experienced by transformers during operation. Three aged oil samples, of the two types of oil, have been prepared in laboratory (3, 6, and 10 days). Density and viscosity measurements were performed on these fresh and aged oil samples. The results concluded that during the initial years, chemical changes cause a minor drop in the density of the mineral oil. Conversely, GTL oil has superior qualities since it stays more stable over time. Over time, the density of both oils exhibits comparable stability, however GTL oil is favored over mineral oil due to its consistency and stability. Diala S4 and Diala S2 oils have higher viscosity, suggesting superior cooling performance before aging. However, Diala S2 dropped to 10.649 mm2/s after three years, indicating its long-term consequences. Diala S4 oil had higher flow efficiency, enhancing transformer cooling and insulating performance within thermal aging. This is due to GTL oil, derived from natural gas, has higher resistance to chemical deterioration, allowing it to sustain its viscosity stability over extended periods. These results emphasize the importance of choosing oils, especially GTL oil type based on their apparent and physical stability over time. © 2024 IEEE.

关键词： Viscosity

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Mutual Coupling Reduction in MIMO Antenna for 5G Application by Self-Decoupled Method 2

Mutual Coupling Reduction in MIMO Antenna for 5G Application...

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2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, ViTECoN 2023

作者： Rashid, Aamir Shah, Syed Shahid Hussain, Irshad Jalal, Muhammad Ramalakshmi, R. Ramachandran, V. University of Engineering and Technology Faculty of Electrical and Computer Engineering Peshawar Pakistan College of Computer and Information Engineering King Saud University Department of Computer Engineering Riyadh Saudi Arabia Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Virudhunagar India Gokaraju Rangaraju Institute of Engineering and Technology Department of Computer Science and Engineering Telangana Hyderabad500090 India

ISBN: (纸本)9798350347982

This paper shows a simple, compact and small 8×8 MIMO antenna. The ability of MIMO antennas is to broadcast signals in a various patterns and polarizations is extremely advantageous for contemporary communications systems. Excellent diversity gain (DG > 9.99dB), a low envelop correlation coefficient (ECC 0.002), and extremely low mutual coupling (S2l≥ 27) dB are all characteristics of the constructed MIMO antenna. S-boundaries, energy pattern characteristics, maximum gain, diversity gain, and envelop coefficient are used to evaluate the antenna performance. The mutual Coupling is the most basic fundamental parameter for the MIMO antenna, was likewise analyzed and it was observed that its value is under -27dB. self-decoupled MIMO antennas have a loop type ground antenna which reduces the requirement for extra decoupling structures or a postponed tuning method Antennas for ground radiation and loop antenna are magnetic-current and electric-current components, respectively. The suggested MIMO antennas feature a self-decoupled despite the antenna parts being near together, reduced profile and easy fabrication advantages the suggested, a revolutionary approach called MIMO antenna system is expected to offer excellent isolation and minimal mutual coupling, making it suitable for 5G applications. © 2023 IEEE.

关键词： MIMO systems

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Physical-Layer Security for Cooperative Wireless Networks over Alpha-Mu Fading Channels 8

Physical-Layer Security for Cooperative Wireless Networks ov...

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8th International Conference on Information Technology, Information Systems and Electrical engineering, ICITISEE 2024

作者： Saddouq, Ayam Al-Mistarihi, Mamoun F. Khodeir, Mahmoud A. Darabkh, Khalid A. Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.O. Box 3030 Irbid22110 Jordan School of Engineering The University of Jordan Computer Engineering Department Amman11942 Jordan

ISBN: (纸本)9798350368970

A novel method called cooperative communication allows devices with a single antenna to share their antennae and assist other nodes in signal relaying. Thus, enhanced reception reliability, lower power usage, and increased spatial diversity are attained. This paper examines and analyzes a two-way, dual-hop cooperative network that uses α-μ fading channels and half-duplex mode, with a source and jammer for decode and forward relaying method, all while maintaining physical layer security. The system's secrecy performance is assessed by deriving the secrecy outage probability for a single relay. For the derived expression, theoretical results are provided. © 2024 IEEE.

关键词： Decoding

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Power Savings of Device-to-Device (D2D) Communication System Using Several Bands 5G Underlaying Cellular Networks 32

Power Savings of Device-to-Device (D2D) Communication System...

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32nd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2024

作者： Shatnawi, Razan A. Khodeir, Mahmoud A. Al-Mistarihi, Mamoun F. Darabkh, Khalid A. Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.O. Box 3030 Irbid22110 Jordan The University of Jordan School of Engineering Computer Engineering Department Amman11942 Jordan

ISBN: (纸本)9789532901382

Device-to-device (D2D) communication, in contrast to typical cellular connections, is a direct connection between adjacent mobile users;it skips the base station (BS) and does not rely on network infrastructure to deliver high data rates and minimal battery usage. To address concerns regarding power consumption, D2D connections and cellular networks were combined in underlay mode. Both D2D and cellular connections employ licensed frequency bands in underlay D2D communication;however, due to resource sharing, these bands may overlap, reducing service quality while increasing spectral efficiency. Most existing research focuses solely on energy efficiency (EE) in the setting of individual cells. This article took into account the complete cellular network, including D2D connections across many bands. A closed-form expression for the energy EE of D2D connections underlaid on cellular networks over Nakagami-m fading channels has been derived using stochastic geometric theory, where performance improves by decreasing EE and EE decreases as the density of D2D and cellular users increases. Increasing the shape parameter value m (Nakagami-m order) on the D2D will improve users' EE is also examined. Results of simulations are used to validate analytical conclusions. © 2024 University of Split, FESB.

关键词： Stochastic systems

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Various optimized machine learning techniques to predict agricultural commodity prices

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Neural Computing and Applications 2024年第19期36卷 11439-11459页

作者： Sari, Murat Duran, Serbay Kutlu, Huseyin Guloglu, Bulent Atik, Zehra Department of Mathematical Engineering Faculty of Science and Letters Istanbul Technical University Istanbul34469 Turkey Department of Mathematics and Science Education Faculty of Education Adiyaman University Adiyaman Turkey Department of Computer Technologies Besni Vocational School Adiyaman University Adiyaman Turkey Economics Department Faculty of Management Istanbul Technical University Istanbul34367 Turkey

Recent increases in global food demand have made this research and, therefore, the prediction of agricultural commodity prices, almost imperative. The aim of this paper is to build efficient artificial intelligence methods to effectively forecast commodity prices in light of these global events. Using three separate, well-structured models, the commodity prices of eleven major agricultural commodities that have recently caused crises around the world have been predicted. In achieving its objective, this paper proposes a novel forecasting model for agricultural commodity prices using the extreme learning machine technique optimized with the genetic algorithm. In predicting the eleven commodities, the proposed model, the extreme learning machine with the genetic algorithm, outperforms the model formed by the combination of long short-term memory with the genetic algorithm and the autoregressive integrated moving average model. Despite the fluctuations and changes in agricultural commodity prices in 2022, the extreme learning machine with the genetic algorithm model described in this study successfully predicts both qualitative and quantitative behavior in such a large number of commodities and over such a long period of time for the first time. It is expected that these predictions will provide benefits for the effective management, direction and, if necessary, restructuring of agricultural policies by providing food requirements that adapt to the dynamic structure of the countries. © The Author(s) 2024.

关键词： Forecasting

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