Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 2096-3246) is a bi-monthly peer-reviewed international Journal. Gongcheng Kexue Yu Jishu/Advanced Engineering Science was originally formed in 1969 and the journal came under scopus by 2017 to now. The journal is published by editorial department of Journal of Sichuan University. We publish every scope of engineering, Mathematics, physics.
Submission Deadline
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Vol
57
, Issue
11
)
10 Dec 2025
Day
Hour
Min
Sec
Day
Hour
Min
Sec
Publish On
(
Vol
57
, Issue
11
)
31 Dec 2025
Scopus Indexed (2025)
Aim and Scope
Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 20963246) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are in the following fields but not limited to:
Agricultural science and engineering Section:
Horticulture,
Agriculture,
Soil Science,
Agronomy,
Biology,
Economics,
Biotechnology,
Agricultural chemistry,
Soil,
development in plants,
aromatic plants,
subtropical fruits,
Green house construction,
Growth,
Horticultural therapy,
Entomology,
Medicinal,
Weed management in horticultural crops,
plant Analysis,
Tropical,
Food Engineering,
Venereal diseases,
nutrient management,
vegetables,
Ophthalmology,
Otorhinolaryngology,
Internal Medicine,
General Surgery,
Soil fertility,
Plant pathology,
Temperate vegetables,
Psychiatry,
Radiology,
Pulmonary Medicine,
Dermatology,
Organic farming,
Production technology of fruits,
Apiculture,
Plant breeding,
Molecular breeding,
Recombinant technology,
Plant tissue culture,
Ornamental horticulture,
Nursery techniques,
Seed Technology,
plantation crops,
Food science and processing,
cropping system,
Agricultural Microbiology,
environmental technology,
Microbial,
Soil and climatic factors,
Crop physiology,
Plant breeding,
Electrical Engineering and Telecommunication Section:
Electrical Engineering,
Telecommunication Engineering,
Electro-mechanical System Engineering,
Biological Biosystem Engineering,
Integrated Engineering,
Electronic Engineering,
Hardware-software co-design and interfacing,
Semiconductor chip,
Peripheral equipments,
Nanotechnology,
Advanced control theories and applications,
Machine design and optimization ,
Turbines micro-turbines,
FACTS devices ,
Insulation systems ,
Power quality ,
High voltage engineering,
Electrical actuators ,
Energy optimization ,
Electric drives ,
Electrical machines,
HVDC transmission,
Power electronics.
Computer Science Section :
Software Engineering,
Data Security ,
Computer Vision ,
Image Processing,
Cryptography,
Computer Networking,
Database system and Management,
Data mining, Big Data, Robotics ,
Parallel and distributed processing ,
Artificial Intelligence ,
Natural language processing ,
Neural Networking, Distributed Systems ,
Fuzzy logic, Advance programming,
Machine learning,
Internet & the Web,
Information Technology ,
Computer architecture,
Virtual vision and virtual simulations,
Operating systems,
Cryptosystems and data compression,
Security and privacy,
Algorithms,
Sensors and ad-hoc networks,
Graph theory,
Pattern/image recognition,
Neural networks.
Civil and architectural engineering :
Architectural Drawing,
Architectural Style,
Architectural Theory,
Biomechanics,
Building Materials,
Coastal Engineering,
Construction Engineering,
Control Engineering,
Earthquake Engineering,
Environmental Engineering,
Geotechnical Engineering,
Materials Engineering,
Municipal Or Urban Engineering,
Organic Architecture,
Sociology of Architecture,
Structural Engineering,
Surveying,
Transportation Engineering.
Mechanical and Materials Engineering :
kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.Chemical Engineering :
Chemical engineering fundamentals,
Physical, Theoretical and Computational Chemistry,
Chemical engineering educational challenges and development,
Chemical reaction engineering,
Chemical engineering equipment design and process design,
Thermodynamics,
Catalysis & reaction engineering,
Particulate systems,
Rheology,
Multifase flows,
Interfacial & colloidal phenomena,
Transport phenomena in porous/granular media,
Membranes and membrane science,
Crystallization, distillation, absorption and extraction,
Ionic liquids/electrolyte solutions.
Food Engineering :
Food science,
Food engineering,
Food microbiology,
Food packaging,
Food preservation,
Food technology,
Aseptic processing,
Food fortification,
Food rheology,
Dietary supplement,
Food safety,
Food chemistry.
Physics Section:
Astrophysics,
Atomic and molecular physics,
Biophysics,
Chemical physics,
Civil engineering,
Cluster physics,
Computational physics,
Condensed matter,
Cosmology,
Device physics,
Fluid dynamics,
Geophysics,
High energy particle physics,
Laser,
Mechanical engineering,
Medical physics,
Nanotechnology,
Nonlinear science,
Nuclear physics,
Optics,
Photonics,
Plasma and fluid physics,
Quantum physics,
Robotics,
Soft matter and polymers.
Mathematics Section:
Actuarial science,
Algebra,
Algebraic geometry,
Analysis and advanced calculus,
Approximation theory,
Boundry layer theory,
Calculus of variations,
Combinatorics,
Complex analysis,
Continuum mechanics,
Cryptography,
Demography,
Differential equations,
Differential geometry,
Dynamical systems,
Econometrics,
Fluid mechanics,
Functional analysis,
Game theory,
General topology,
Geometry,
Graph theory,
Group theory,
Industrial mathematics,
Information theory,
Integral transforms and integral equations,
Lie algebras,
Logic,
Magnetohydrodynamics,
Mathematical analysis.
Latest Journals
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-26-11-2024-791
Abstract : Multiple methods for classifying rice seeds were developed because of the time and effort involved in manually observing rice seeds. In light with this, machine learning has been found to be an effective method for seed classification. The goal of this paper is to determine a better classifier using WEKA Machine Learning Algorithms for rice seed classification in terms of rate of accuracy and training time. To do this, data mining technique was done since agriculture has been a clear focus of big data efforts. The tool used for data mining is WEKA, a collection of machine learning algorithms for data mining tasks. Data preparation, classification, regression, clustering, mining of association rules, and visualization are all included in this package. Among the 23 classifiers used to classify rice seeds, the Random Tree Classifier achieved a 100% accuracy and training time of 0.02 seconds, hence the mentioned machine learning algorithm was proven effective in providing a perfect accuracy rate and shorter period of training time..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-11-2024-790
Abstract : Due to the significant rise in the number of private automobiles for several decades, numerous transportation-related matters have worsened very quickly. The most affected areas are those designed for pedestrians basically, such as downtown and historical cores. Recently, pedestrianization has been promoted as a feasible trend to promote sustainable social and economic growth in such urban communities. The lead in this trend was for European and American cities, but there was success in applying this approach in some cases and failure in others, which is mainly due to the wrong choice of the area suitable for applying the approach in terms of its urban, social and environmental conditions. Many towns and municipalities around the world want to make parts of their central districts pedestrianized, but they lack the means and expertise to carry out a comprehensive feasibility assessment of the project before starting it to avoid its failure after implementation. This study aims to create an initial index that can help local governments to identify the appropriation of a district for pedestrianization. This index aims to identify and reject unfeasible candidate districts early on, allowing resources to be redirected toward developing more effective plans for districts deemed more suitable for pedestrianization. The index will be developed based on a literature review, followed by a comparative and analytical study of several successful international case studies. To make the index quantitative, the scoring system for the index criteria will be done through statistical analysis to determine the relative importance degree of each criterion. So, the research result will be a quantitative initial index to determine a district's suitability for pedestrianization schemes..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-18-11-2024-787
Abstract : Retinal fundus imaging plays a vital role in the early diagnosis of retinal diseases such as glaucoma, diabetic retinopathy, and cataracts. However, image quality is often compromised by specular reflections caused by flash photography, leading to reduced diagnostic accuracy. This study proposes a hybrid model for glaucoma detection that combines a preprocessing stage to remove specular reflections with an advanced segmentation phase utilizing a modified Convolutional Neural Network (CNN) architecture, specifically based on AlexNet. The preprocessing phase extracts diffuse and specular components using seven methods, and the best quality output is passed through a high-emphasis filter. The segmented images are then processed in the feature extraction phase, followed by classification using a Support Vector Machine (SVM) with multiple kernel options. This model aims to improve the accuracy of glaucoma detection, overcoming limitations posed by image artifacts and providing a robust solution for retinal disease screening. The hybrid CNN-AlexNet model enhances detection capabilities, ensuring better image quality and higher classification accuracy, making it an effective tool for early glaucoma diagnosis. Experimental results demonstrate that the proposed model achieves significant improvements in preprocessing, the performance parameters are 0.961, with the glaucoma detection phase shows an accuracy of 94.83%, sensitivity of 94.19%, specificity of 96.37%, and an area under the receiver operating characteristic curve (AUROC) of 0.99.1..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-11-2024-785
Abstract : This paper aims to analyze the scientific production of the Urban Competitiveness and National Urban Policy research fields to identify research topics and publication patterns. Accordingly, bibliometric analysis was selected as a quantitative meta-analysis literature review method. Scopus was the main database for extracting the scientific production in Urban Policy and Competitiveness. Various bibliometrics analysis techniques were used to analyze 59 and 326 publications on Urban Competitiveness and urban policy, respectively. The main results are summarized as follows: (i) the number of publications on Urban Competitiveness has increased significantly, and (ii) contrarily, relatively urban policy literature is concerned with competitiveness despite its significant role in Urban Planning Policy..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-11-2024-784
Abstract : In this study, the effects of ultra-low-dose hormone therapy (Ultra-LD HT) are assessed using a shock model. It is believed that shocks follow a Poisson process. The effects of estrogen can cause osteoporosis if the interval between two consecutive shocks is less than a specific threshold. Since bone turnover markers (BTM) in postmenopausal women decrease as a result of 17β-estradiol 0.5 mg and norethisterone acetate 0.1 mg (E2 0.5/NETA 0.1) dosages, we suggest that the successive threshold values increase geometrically for worsening stress. Additionally, An expanding geometric sequence is formed by the recovery durations following osteoporosis. After BTM loss from 17β-estradiol and norethisterone acetate, we propose that the succeeding threshold values decline geometrically, with the subsequent recovery times creating a diminishing geometric sequence, in order to improve BTM. After the Nth failure, the dosage of this study looks at how ultra-low-dose hormone therapy (Ultra-LD HT) works, 17β-estradiol is changed to a fresh, similar one at the Nth shock. We explicitly determine an optimal dosage change, denoted as N*, for each scenario of improving BTM and deteriorating stress. This change is intended to minimize the long-run average dosage per unit time by calculating the average expectations for bone resorption markers, such as C-Telopeptide of type I collagen (CTX-I) and N-telopeptide crosslinked of type I collagen (NTX), and bone formation markers, such as N-terminal properties of type I procollagen (PINP) and bone-specific alkaline phosphatase (BSAP) and N-terminal procollagen (PINP). These were assessed before and after 12 and 24 weeks of treatment, and compared with a placebo..
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