Engineering Letters

 

Objectives and Scope

Engineering Letters is published with both online and print versions. The journal covers the frontier issues in the engineering and the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, industrial engineering, internet computing, networking, operations research, scientific computing, software engineering, and their applications etc.

Printed copies of the journal are distributed to accredited universities and government libraries. All the papers in the journal are also available freely with online full-text content and permanent worldwide web link. The abstracts will be indexed and available at major academic databases.

ISSN: 1816-0948 (online version); 1816-093X (print version)

Subject Category: Computer science and engineering

Published by: International Association of Engineers

 

Contents: Volume 32 Issue 3 (Online version available: 1 March 2024)

 

JOURNAL PAPERS:

Some Eisenstein Identities Involving Borweins' Cubic Theta Functions and Evaluation of Compound Convolution Sum

Smitha Ganesh Bhat, Vidya Harekala Chandrashekara, and Ashwath Rao Badanidiyoor

Engineering Letters, 32:3, pp452-462 [Online Full Text]

Smitha Ganesh Bhat, Vidya Harekala Chandrashekara, and Ashwath Rao Badanidiyoor, "Some Eisenstein Identities Involving Borweins' Cubic Theta Functions and Evaluation of Compound Convolution Sum," Engineering Letters, vol. 32, no. 3, pp452-462, 2024

 

Multi-layer Perception Neural Network Soft-sensor Modeling of Grinding Process Based on Swarm Intelligent Optimization Algorithms

Yi-Peng Shang-Guan, Cheng Xing, Jie-Sheng Wang, Yong-Cheng Sun, and Qing-Da Yang

Engineering Letters, 32:3, pp463-476 [Online Full Text]

Yi-Peng Shang-Guan, Cheng Xing, Jie-Sheng Wang, Yong-Cheng Sun, and Qing-Da Yang, "Multi-layer Perception Neural Network Soft-sensor Modeling of Grinding Process Based on Swarm Intelligent Optimization Algorithms," Engineering Letters, vol. 32, no. 3, pp463-476, 2024

 

Graph Contrastive Learning with Knowledge Transfer for Recommendation

Baoxin Zhang, Dan Yang, Yang Liu, and Yu Zhang

Engineering Letters, 32:3, pp477-487 [Online Full Text]

Baoxin Zhang, Dan Yang, Yang Liu, and Yu Zhang, "Graph Contrastive Learning with Knowledge Transfer for Recommendation," Engineering Letters, vol. 32, no. 3, pp477-487, 2024

 

Analysis of Solutions for a Sixth-Order Boundary Value Problem and Numerical Search using Nonlinear Programming Techniques

Andre Luis Machado Martinez, Cristiane Aparecida Pendeza Martinez, Thiago de Souza Pinto, and Emerson Vitor Castelani

Engineering Letters, 32:3, pp488-492 [Online Full Text]

Andre Luis Machado Martinez, Cristiane Aparecida Pendeza Martinez, Thiago de Souza Pinto, and Emerson Vitor Castelani, "Analysis of Solutions for a Sixth-Order Boundary Value Problem and Numerical Search using Nonlinear Programming Techniques," Engineering Letters, vol. 32, no. 3, pp488-492, 2024

 

Adaptive Path Planning for Multi-Agent Systems Using Improved Artificial Potential Field with Neural Network Approximation

Zhipeng Zhu, Zhao Zhang, Hongyan Zhou, and Xue-Bo Chen

Engineering Letters, 32:3, pp493-502 [Online Full Text]

Zhipeng Zhu, Zhao Zhang, Hongyan Zhou, and Xue-Bo Chen, "Adaptive Path Planning for Multi-Agent Systems Using Improved Artificial Potential Field with Neural Network Approximation," Engineering Letters, vol. 32, no. 3, pp493-502, 2024

 

Neuroadaptive Fixed-Time Tracking Control of Full-State Constrained Strict-Feedback Nonlinear Systems with Actuator Faults

Zhidong Wen, Xiongbo Bie, and Shilei Tan

Engineering Letters, 32:3, pp503-511 [Online Full Text]

Zhidong Wen, Xiongbo Bie, and Shilei Tan, "Neuroadaptive Fixed-Time Tracking Control of Full-State Constrained Strict-Feedback Nonlinear Systems with Actuator Faults," Engineering Letters, vol. 32, no. 3, pp503-511, 2024

 

Stress and Tension of Generalized Complements of Graphs

Madhumitha K. V, Swati Nayak, and Sabitha D'Souza

Engineering Letters, 32:3, pp512-519 [Online Full Text]

Madhumitha K. V, Swati Nayak, and Sabitha D'Souza, "Stress and Tension of Generalized Complements of Graphs," Engineering Letters, vol. 32, no. 3, pp512-519, 2024

 

Research on Dynamic Obstacle Avoidance Method of Mobile Robot based on Improved A* Algorithm and Dynamic Window Method

Zhangfang Hu, Xingyuan Wang, and Junhao Zhang

Engineering Letters, 32:3, pp520-530 [Online Full Text]

Zhangfang Hu, Xingyuan Wang, and Junhao Zhang, "Research on Dynamic Obstacle Avoidance Method of Mobile Robot based on Improved A* Algorithm and Dynamic Window Method," Engineering Letters, vol. 32, no. 3, pp520-530, 2024

 

Adaptive Illumination Estimation for Low-Light Image Enhancement

Lan Li, Wen-Hao Peng, Zhao-Peng Duan, and Sha-Sha Pu

Engineering Letters, 32:3, pp531-540 [Online Full Text]

Lan Li, Wen-Hao Peng, Zhao-Peng Duan, and Sha-Sha Pu, "Adaptive Illumination Estimation for Low-Light Image Enhancement," Engineering Letters, vol. 32, no. 3, pp531-540, 2024

 

Performance of Two Numerical Methods in Option Price Calculation

Emy Siswanah, Minhayati Saleh, Emamatul Qudsiyah, and Muhammad Malik Hakim

Engineering Letters, 32:3, pp541-559 [Online Full Text]

Emy Siswanah, Minhayati Saleh, Emamatul Qudsiyah, and Muhammad Malik Hakim, "Performance of Two Numerical Methods in Option Price Calculation," Engineering Letters, vol. 32, no. 3, pp541-559, 2024

 

Research on Interpretable Recommendation Algorithms Based on Deep Learning

Q. F. Wei, and K. Yang

Engineering Letters, 32:3, pp560-568 [Online Full Text]

Q. F. Wei, and K. Yang, "Research on Interpretable Recommendation Algorithms Based on Deep Learning," Engineering Letters, vol. 32, no. 3, pp560-568, 2024

 

Improved Deep Convolutional Neural Network-Based Method for Detecting Winter Jujube Fruit in Orchards

Tianzhen Liu, Yingchun Yuan, Guifa Teng, and Xi Meng

Engineering Letters, 32:3, pp569-578 [Online Full Text]

Tianzhen Liu, Yingchun Yuan, Guifa Teng, and Xi Meng, "Improved Deep Convolutional Neural Network-Based Method for Detecting Winter Jujube Fruit in Orchards," Engineering Letters, vol. 32, no. 3, pp569-578, 2024

 

Double Laplace Formable Transform Method for Solving PDEs

Rania Saadeh, Laith Hamdi, and Ahmad Qazza

Engineering Letters, 32:3, pp579-587 [Online Full Text]

Rania Saadeh, Laith Hamdi, and Ahmad Qazza, "Double Laplace Formable Transform Method for Solving PDEs," Engineering Letters, vol. 32, no. 3, pp579-587, 2024

 

The Ignition Problem for Chaplygin Gas System

Yujin Liu, and Wenhua Sun

Engineering Letters, 32:3, pp588-594 [Online Full Text]

Yujin Liu, and Wenhua Sun, "The Ignition Problem for Chaplygin Gas System," Engineering Letters, vol. 32, no. 3, pp588-594, 2024

 

Optimization of Paste Backfilling Material Ratios for Long-Distance Transportation

Bo Du, Yanhe Li, Xingming Chen, Kaifeng Song, Dingyi Wei, Weijie Cao, and Guangzhong Sun

Engineering Letters, 32:3, pp595-600 [Online Full Text]

Bo Du, Yanhe Li, Xingming Chen, Kaifeng Song, Dingyi Wei, Weijie Cao, and Guangzhong Sun, "Optimization of Paste Backfilling Material Ratios for Long-Distance Transportation," Engineering Letters, vol. 32, no. 3, pp595-600, 2024

 

A Novel Transformer Approach for the Recompensed Measurement Generation and Accurate Topology Identification

Seshu Moturu, Srinivasa Rao Gummadi, Madhu Valavala, Veera Vasantha Rao Battula, and Sravanthi Kantamaneni

Engineering Letters, 32:3, pp601-613 [Online Full Text]

Seshu Moturu, Srinivasa Rao Gummadi, Madhu Valavala, Veera Vasantha Rao Battula, and Sravanthi Kantamaneni, "A Novel Transformer Approach for the Recompensed Measurement Generation and Accurate Topology Identification," Engineering Letters, vol. 32, no. 3, pp601-613, 2024

 

An Integrated Energy Demand Response Model Considering Source-Load Synergy and Stepped Carbon Trading Mechanism

Yi Zhang, Lin Li, and Wei Hu

Engineering Letters, 32:3, pp614-624 [Online Full Text]

Yi Zhang, Lin Li, and Wei Hu, "An Integrated Energy Demand Response Model Considering Source-Load Synergy and Stepped Carbon Trading Mechanism," Engineering Letters, vol. 32, no. 3, pp614-624, 2024

 

Design of the Adaptive Impedance Buffer in Low Quiescent Current LDO

Lei Tian, Chengyu He, Qinqin Li, Jiahuan Hu, and Weiheng Wang

Engineering Letters, 32:3, pp625-629 [Online Full Text]

Lei Tian, Chengyu He, Qinqin Li, Jiahuan Hu, and Weiheng Wang, "Design of the Adaptive Impedance Buffer in Low Quiescent Current LDO," Engineering Letters, vol. 32, no. 3, pp625-629, 2024

 

A Suitable Scheme for Influential Load Nodes Detection Considering Network Structural Risk Vulnerability Analysis

Akintunde Samson Alayande, Olawale Popoola, Claudius Ojo Aremu Awosope, and Ademola Adulkareem

Engineering Letters, 32:3, pp630-649 [Online Full Text]

Akintunde Samson Alayande, Olawale Popoola, Claudius Ojo Aremu Awosope, and Ademola Adulkareem, "A Suitable Scheme for Influential Load Nodes Detection Considering Network Structural Risk Vulnerability Analysis," Engineering Letters, vol. 32, no. 3, pp630-649, 2024

 

Autonomous Obstacle Avoidance Algorithm for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning

Yuan Gao, Ling Ren, Tianwei Shi, Teng Xu, and Jianbang Ding

Engineering Letters, 32:3, pp650-660 [Online Full Text]

Yuan Gao, Ling Ren, Tianwei Shi, Teng Xu, and Jianbang Ding, "Autonomous Obstacle Avoidance Algorithm for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning," Engineering Letters, vol. 32, no. 3, pp650-660, 2024

 

Lightweight HRNet: A Ligtweight Network for Bottom-Up Human Pose Estimation

Jinzhen Liao, Wenhua Cui, Ye Tao, Tianwei Shi, and Lijia Shen

Engineering Letters, 32:3, pp661-670 [Online Full Text]

Jinzhen Liao, Wenhua Cui, Ye Tao, Tianwei Shi, and Lijia Shen, "Lightweight HRNet: A Ligtweight Network for Bottom-Up Human Pose Estimation," Engineering Letters, vol. 32, no. 3, pp661-670, 2024

 

TOPSIS Techniques on Picture Fuzzy Soft Sets

Salsabeela V, and Sunil Jacob John

Engineering Letters, 32:3, pp671-676 [Online Full Text]

Salsabeela V, and Sunil Jacob John, "TOPSIS Techniques on Picture Fuzzy Soft Sets," Engineering Letters, vol. 32, no. 3, pp671-676, 2024

 

Low-Complexity GSM Detection based on Iterative Zero Forcing and Minimum Mean Square Error

Xinhe Zhang, and Siyu Zhang

Engineering Letters, 32:3, pp677-683 [Online Full Text]

Xinhe Zhang, and Siyu Zhang, "Low-Complexity GSM Detection based on Iterative Zero Forcing and Minimum Mean Square Error," Engineering Letters, vol. 32, no. 3, pp677-683, 2024

 

A Blank Element Selection Algorithm for Element Fill-in-blank Problems in Client-side Web Programming

Huiyu Qi, Nobuo Funabiki, Khaing Hsu Wai, Flasma Veronicha Hendryanna, Khin Thet Mon, Mustika Mentari, and Wen Chung Kao

Engineering Letters, 32:3, pp684-700 [Online Full Text]

Huiyu Qi, Nobuo Funabiki, Khaing Hsu Wai, Flasma Veronicha Hendryanna, Khin Thet Mon, Mustika Mentari, and Wen Chung Kao, "A Blank Element Selection Algorithm for Element Fill-in-blank Problems in Client-side Web Programming," Engineering Letters, vol. 32, no. 3, pp684-700, 2024

 

 

 

Coming Special Issues of Engineering Letters

Engineering Letters welcomes author submission of papers concerning any branch of the engineering and the computer science and their applications in business, industry and other subjects. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, industrial engineering, internet computing, networking, operations research, scientific computing, software engineering, and their applications. With the efforts of the Editorial Board Members of Engineering Letters, the new online version and print version of the journal Engineering Letters has become available to the general public, instead of its old restricted versions.

All submitted papers are to be peer-reviewed for ensuring their qualities.

 

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