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
)
04 Dec 2025
Day
Hour
Min
Sec
Day
Hour
Min
Sec
Publish On
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Vol
57
, Issue
10
)
30 Nov 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-21-06-2024-713
Abstract : Speech enhancement is a field of research that aims to improve the quality of speech communication in noisy environments. In this paper, we provide an overview of the key issues and challenges in speech enhancement, including the impact of noise on speech quality, the need for effective noise reduction techniques, and the importance of evaluation metrics. We also review a range of speech enhancement techniques, including traditional signal processing methods and more recent machine learning-based approaches such as deep neural networks and convolutional neural networks. We discuss commonly used speech databases for speech enhancement research and highlight the strengths and limitations of signal processing and machine learning techniques. We also review commonly used speech enhancement metrics, including objective measures such as signal-to-noise ratio and subjective measures such as mean opinion score. Finally, we discuss potential future horizons for speech enhancement research, including the integration of multiple techniques, real-time processing, robustness to diverse acoustic conditions, multilingual speech enhancement, personalized algorithms, and the development of more sophisticated evaluation metrics. Overall, this paper provides a comprehensive overview of speech enhancement research, and highlights some of the most promising directions for future research in this field..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-06-2024-712
Abstract : The aim of this paper is to study the oscillatory behavior of Conformable differential equations of the form D_α (b(t) D_α (a(t) D_α y(t)))+q(t)y(t)=0 where D_α denotes the conformable derivative of order α with 0<α≤1.By using the generalized Riccati transformation technique, new sufficient conditions for oscillations of solutions are established..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-06-2024-711
Abstract : In the past few years, the integration of technology within education has been emerging intensively. It has become conventional for higher educators to implement learning management systems (LMS) in several ways that had been formerly seen in a few educational institutes. This article collects data from LMS to see how data analytics can play a role in education by focusing on the success opportunities and restrictions of graduates. In the framework of LMS utilization, students have gained insights throughout their registrations. The aim is to explore the role of data analytics in the field of education. By implementing the LMS, students have gained informative knowledge during their enrollment. Within this specific context, the data pertaining to the learners' footprints, enrollment patterns, and degree of accomplishment has been systematically documented in an electronic fashion. By employing survival analysis on this dataset, we may predict the future accomplishments of the students and anticipate their progress. The results show that psychology is one of the areas that the institution should provide as a remedial class for all master students in order to increase their success rate. Besides, the findings can aid educators in enhancing the standard of instruction and learning by reinforcing extracurricular activities that are specifically designed to assist and rectify graduates who are underperforming. The analytical results can be utilized to bolster the development of a forward-thinking curriculum, aimed at improving the quality of education by creating essential introductory courses. Ultimately, educators possess the capacity to align their teaching methods with all available analytical data in order to enhance their instructional tactics..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-07-06-2024-709
Abstract : One of the core tasks in computer vision with many applications is object detection. As a result of recent developments, strong object detection architectures like YOLOv8 and EfficientDet have emerged, each with special benefits. In this paper, we integrate the advantages of both architectures to present a revolutionary unified object identification system. We achieve state-of-the-art performance across multiple benchmarks by utilizing the superior accuracy of EfficientDet and the real-time capability of YOLOv8. We offer thorough experiments proving the efficiency of our method and shed light on how well the two architectures work together. Our cohesive architecture, which strikes a compromise between speed and precision for realistic deployment in real-world scenarios, raises the bar for object detection systems..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-05-06-2024-707
Abstract : Cardiovascular diseases have long been a significant medical concern, and early and accurate identification is crucial for effective rehabilitation and treatment. Predicting heart disease promptly enables informed decision-making, reducing patient risks. We utilized the MIT-BIH Database to facilitate this process, containing 48 half-hour excerpts of two-channel ambulatory ECG recordings digitized at 360 samples per second per channel. Before further analysis, the data underwent preprocessing steps, including Wavelet Transformation for Baseline Correction and normalization. Additionally, we detected a PQRST waveform consisting of 290 samples, which was extracted and then converted to 360 Hz after peak detection. Next, we performed a Hybrid Time-Frequency analysis using Short Time Fourier Transformation (STFT) and Wigner-Ville distribution (WVD). This transformation process turned the 1D ECG recordings into a 2D time-frequency spectrum, providing a more comprehensive signal representation. We employed a ResNet50 classifier with a 2D architecture to classify the ECG signals. Three distinct cases were considered: normal (non-ectopic cardiac beat), arrhythmia (ventricular ectopic beat), and abnormal (unknown beat). Remarkably, the ResNet50 classifier achieved an impressive accuracy of 97.96% in accurately identifying the different ECG signal categories..
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