Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology

dragon
Submission Time
( Vol 25 , Issue 02 )

25 May 2025

Day
Hour
Min
Sec
Publish On
( Vol 25 , Issue 02 )

31 May 2025

Scopus Index(2025)
image

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology (1009-6744) is a monthly peer-reviewed scopus indexed journal originally from 2008 to 2024. It is sponsored by Science China Press. JTSEIT (1009-6744) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "Science China Press Journal Excellence Action Plan Project" in December 2008.In the future, it will strive to build an open innovation, collaborative integration.
Aim and Scope

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Computer Science and Engineering:
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, Research of Environmental Sciences Zanry Reci(ISSN:2311-0740) Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni Chinese Journal Of Behavioral Medicine And Brain Science Diabetes Mellitus(ISSN:2072-0351)
Electrical Engineering and Telecommunication Section
Electrical Engineering, FACTS devices , Insulation systems , Power quality , 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, High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.
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,
Chemical Engineering :
Chemical engineering fundamentals, Particulate systems, Rheology, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Multifase flows, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.
Mathematics :
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, Information theory, Industrial mathematics, Integral transforms and integral equations, Lie algebras, Magnetohydrodynamics, Mathematical analysis, Logic,
Physics Section :
Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering physics, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics. High energy particle physics, Laser, Mechanical engineering, Medical physic, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Magnetohydrodynamics, Robotics, Soft matter and polymers,
All Journal Published Here

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

  • JTSEIT-24-04-2025-3155
  • Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Early Schizophrenia Prediction Using Wearable Devices and Machine Learning

Wearable technology and machine learning algorithms are harnessed to advance early prediction and diagnosis of schizophrenia. Different machine learning algorithms were tested for their capability to categorise people at risk of or diagnosed with schizophrenia using a dataset made up of physiological and behavioural data gathered via wearable devices. Notably, K-Nearest Neighbors and Random Forest came up as the top-performing models, attaining high F1-scores, demonstrating their capacity to balance accuracy and recall. Support Vector Machine (SVM), AdaBoost, and Gradient boosting all displaye
Know more Know more
  • JTSEIT-14-04-2025-3152
  • Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Privacy-aware federated machine learning algorithms for analyzing students' psycho-emotional state data

Artificial Intelligence (AI) and Machine Learning (ML) have transformed industries by enabling intelligent decision-making and predictive analytics using big data. This data, defined by its volume, velocity, and variety, drives complex ML models that deliver accurate insights. However, traditional centralized ML approaches, which require collecting data on central servers, raise significant privacy and security concerns. Federated Learning (FL) proposes a decision by providing decentralized model training. is especially valuable for analyzing sensitive data, such as student’s psycho-emotiona
Know more Know more
  • JTSEIT-24-02-2025-3148
  • Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Defining the Cyber-Physical-Social Systems (CPSS) conceptual architecture for mass events efficient transport services

CPSS (Cyber-Physical-Social Systems) is an integrated system that includes the interaction of cyber-physical elements (intelligent transport systems (ITS) elements, sensors, communication networks etc.) and social (event participant’s behavior) levels, which allows describing complex dynamic processes that are inefficient to consider separately. The usage of CPSS for mass events transport services allows deeper analysis of ITS elements complex interactions and event participants, respectively, to provide an integrated and effective approach for the event transport and logistics services. Thi
Know more Know more
  • JTSEIT-03-07-2024-3139
  • Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Prediction of Success Based on Poisson Regression Analysis

There are typically two approaches that are utilized while observing educational networks in its operational state. Regarding to the first method, a statistical model is to be developed from the learning management system (LMS), and the average values of this numerical model are continuously monitored over the study time. On the other hand, the other we can process the information obtained from the education network by using regression metrics and then analyzes the numerical data. For the purpose of modeling the success trend of interacting students, we use the assumption that Poisson regressi
Know more Know more
  • JTSEIT-13-06-2024-3138
  • Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal Of Transportation Systems Engineering And Information Technology

Flexible Traffic Signal Control Method Based on Non-conflict Merging Strategy

The development of intelligent and connected vehicles makes it possible to finely control the vehicle trajectories and the new ideas and concepts have appeared for urban traffic signal control. This paper proposes a flexible signal control method based on non-conflict merging strategies. The merging phase is introduced to accommodate both through and left-turn vehicles. Based on the NEMA (National Electrical Manufacturers Association) dual-ring phase structure, the merging strategy is integrated to form a dual-ring merging signal phase structure with 12 action spaces. With the optimized pha

Know more Know more
Yaoxue Xuebao Chinese Medical Ethics Rossijskij Psihiatriceskij Zurnal Salud, Ciencia Y Tecnologia