Victor Agughasi |Computer Aided Design In Mechanical Engineering|Best Researcher Award

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Assist. Prof. Dr.Victor Agughasi |Computer Aided Design In Mechanical Engineering|Best Researcher Award

Assistant Professor, Maharaja Institute of Technology Mysore, India

Summary:

Assistant Professor, Maharaja Institute of Technology, Mysore, India,Dr. Victor Agughasi is an Assistant Professor at the Maharaja Institute of Technology, Mysore, India. With extensive expertise in his field, he contributes to academic excellence through teaching, research, and mentoring students. His work reflects a commitment to advancing knowledge and fostering innovation in higher education.

 

Professional Profiles:

Scopus

Google Scholar

Orcid

🎓 Education :

Ph.D. in Computer Science,University of Mysore, Karnataka, India (Sept. 2018 – Dec. 2023),Thesis: Machine Learning Algorithm for the Diagnosis of Chronic Obstructive Pulmonary Diseases from Chest X-ray Images.,Postgraduate Diploma in Business Administration (PGDBA),Bangalore University, Bangalore, India (Dec. 2016 – Jan. 2018),M.Sc. in Computer Science,Bangalore University, Bangalore, India (Apr. 2014 – Mar. 2016),B.Sc. in Computer Science,Michael Okpara University, Abia State, Nigeria (Nov. 2006 – Oct. 2010),West African Senior School Certificate Examination (WASSCE),Community Secondary School, Okigwe, Imo State, Nigeria (May – June 2004)

 

🏢 Experience:

Assistant Professor,Department of Computer Science and Engineering (Computer Aided Design In Mechanical Engineering), Maharaja Institute of Technology, Mysore, India (Oct. 2023 – Present),Teaches subjects such as Machine Learning, Computer Vision, Big Data Analytics, Digital Image Processing, Database Management Systems, Python for Data Visualization, and Research Methodology.,Research Associate,Maharaja Institute of Technology, Mysore, India (June 2019 – Oct. 2023),Focused on Machine Learning, Big Data Analytics, and Mobile App Development in Java. Supervised research projects in Machine Learning.,Visiting Faculty (Voluntary),Dr. Ambedkar Institute for Management Science, Bangalore, India (Aug. 2018 – May 2019),Conducted courses in Information System & Science and Database Management Systems.,Visiting Faculty (Voluntary),St. Aloysius Degree College, Bangalore, India (Jul. 2017 – Feb. 2018),Taught sessions on Information System & Science and Database Management Systems.,Teaching Assistant (Voluntary),St. Joseph’s College, Bangalore, India (Oct. 2014 – Mar. 2016),Taught Computer Fundamentals and Web Design using PHP.,Java Instructor (Intern),APTECH Computer Education, Bangalore, India (Oct. – Dec. 2014),Provided training in Computer Fundamentals and Web Design using PHP.,Web Developer,Max-Out Resources Pvt. Ltd, Abuja, Nigeria (Jul. 2011 – Jun. 2012),High School Teacher,Community Secondary School, Okigwe, Nigeria (Feb. – Nov. 2009)

Skills:

Proficient in programming languages such as Java, JavaScript, Python, and PHP. Experienced in database systems including MySQL, PostgreSQL, and Oracle. Fluent in English with basic knowledge of Kannada.

 

Research Focus :

Specializes in Medical Imaging, Explainable AI Models, Data Science, Machine Learning, Deep Learning, and Computer Vision. Research emphasizes creating innovative machine learning algorithms for diagnosing chronic diseases from medical imaging data.

 

🔬Awards:

Received Best Paper Awards at multiple international conferences including ADCIS-2024, ERCICAM-2024, and ICCSA-2021. Recognized as the Best Outgoing Student in PG Science at St. Joseph’s College, Bangalore, and awarded gold medals in web application competitions organized by APTECH. Secured a Management Scholarship and Certificates of Merit for outstanding academic performance.

 

Conclusion:

Based on the information provided:,Suitability: Dr. Victor Agughasi appears to be a strong candidate for the award, provided his accomplishments align with the specific goals of the awarding body.,Recommendations: A detailed application highlighting research impact, innovation, and leadership, complemented by addressing areas for improvement, would enhance his candidacy.

 Publications:

  • ResNet-50 vs VGG-19 vs Training from Scratch: A Comparative Analysis of the Segmentation and Classification of Pneumonia from Chest X-Ray Images
    Authors: Agughasi Victor Ikechukwu, Murali S, Deepu R, RC Shivamurthy
    Publication: Global Transitions Proceedings
    Year: 2021
    Citations: 5

 

  • CX-Net: An Efficient Ensemble Semantic Deep Neural Network for ROI Identification from Chest X-Ray Images for COPD Diagnosis
    Authors: AV Ikechukwu, S Murali
    Publication: Machine Learning: Science and Technology
    Year: 2023
    Citations: 21

 

  • i-Net: A Deep CNN Model for White Blood Cancer Segmentation and Classification
    Authors: AV Ikechukwu, S Murali
    Publication: International Journal of Advanced Technology and Engineering Exploration
    Year: 2022
    Citations: 19

 

  • Semi-Supervised Labelling of Chest X-Ray Images Using Unsupervised Clustering for Ground-Truth Generation
    Authors: Agughasi Victor Ikechukwu, S Murali
    Publication: Applied Engineering and Technology
    Year: 2023
    Citations: 13

 

  • Explainable Deep Learning Model for Covid-19 Diagnosis
    Authors: AV Ikechukwu, P Sreyas, A Sena, H Preetham, K Raksha
    Publication: IRJMETS
    Year: 2022
    Citations: 10

 

  • Energy-Efficient Deep Q-Network: Reinforcement Learning for Efficient Routing Protocol in Wireless Internet of Things
    Authors: AV Ikechukwu, S Bhimshetty
    Publication: Indonesian Journal of Electrical Engineering and Computer Science
    Year: 2024
    Citations: 8

 

  • xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images
    Authors: Agughasi Victor Ikechukwu, S Murali
    Publication: 2023 IEEE 2nd International Conference on Data, Decision, and Systems (ICDDS)
    Year: 2023
    Citations: 6

 

  • COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images
    Authors: AV Ikechukwu, S Murali, B Honnaraju
    Publication: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference
    Year: 2023
    Citations: 6

 

  • The Superiority of Fine-Tuning Over Full-Training for the Efficient Diagnosis of COPD from CXR Images
    Authors: Agughasi Victor Ikechukwu
    Publication: Inteligencia Artificial
    Year: 2024
    Citations: 3

 

  • Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
    Authors: Agughasi Victor Ikechukwu
    Publication: Inteligencia Artificial
    Year: 2024
    Citations: 2

 

  • Diagnosis of Chronic Kidney Disease Using Naïve Bayes Algorithm Supported by Stage Prediction Using eGFR
    Authors: Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini K
    Publication: Not specified in detail
    Year: 2020
    Citations: 1

 

  • Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
    Authors: Agughasi Victor Ikechukwu, Sampoorna Bhimshetty, Deepu R, M.V Mala
    Publication: IEEE Xplore
    Year: 2024
    Citations: Not provided

 

  • Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts from Source Codes
    Authors: D Shruthi, HK Chethan, VI Agughasi
    Publication: ITM Web of Conferences
    Year: 2024
    Citations: Not provided

Chaohai Liu | metal bending | Best Researcher Award

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Mr. Chaohai Liu | metal bending | Best Researcher Award

gunma university, Japan

Mr. Chaohai Liu is a distinguished researcher affiliated with Gunma University in Japan. His expertise lies in advanced engineering and technology, with a focus on innovative solutions in areas such as thermal systems, materials science, or related fields. Known for his commitment to research and academia, Mr. Liu contributes to the university’s mission of advancing knowledge and technology through rigorous research and development.

Summary:

Dr. Gloria García-Donas Gabaldón stands out as an exemplary candidate for the Research for Best Researcher Award due to her significant contributions to medical research and public health. Her extensive publication record and impactful studies highlight her dedication to advancing medical knowledge and improving patient outcomes.

 

Professional Profiles:

Google Scholar

🎓 Education :

Bachelor of Science (BS) in Material Processing and Control Engineering,Chongqing University of Science and Technology
Thesis: Design of Automotive Roof Rack Stamping,Master of Engineering (MEng) in Vehicle Engineering,Chongqing JIAOTONG University
Thesis: Optimized Design of Rivetless Riveting Process and Parameters for Automotive Heterogeneous Plate Parts,Doctor of Philosophy,(Ph.D.) in Mechanical Engineering,Gunma University,Thesis: Door Sheet Metal Hemming Process Analysis Through Experiment and Numerical Approach

🏢 Experience:

Master’s Research (Sep 2017 – Jun 2020),Conducted comprehensive research at Chongqing JIAOTONG University on lightweight vehicle design and forming technologies, focusing on key applications in the automotive industry.Ph.D. Research (Oct 2020 – Present)
Collaborating with Takatsu Manufacturing Co. at Gunma University, performed both experimental and Finite Element Analysis (FEA) studies on the hemming process, transitioning towards robotic arm roller hemming for improved efficiency. Utilized DEFORM software to conduct detailed analysis, optimize force data, and investigate hardening mechanisms. Developed an experimental platform to evaluate roller hemming defects and proposed advanced testing methods, incorporating the NSGA-II algorithm and exploring potential integrations with deep learning techniques.

🛠️Skills:

Advanced knowledge of CAD and FEA software, especially DEFORM,Expertise in optimization algorithms (NSGA-II),Proficiency in experimental platform development for mechanical testing,Strong background in mechanical material deformation analysis,Skilled in data analysis, problem-solving, and technical report writing

Research Focus :

Dedicated to innovating in the fields of CAD, mechanical engineering optimization, and roller hemming processes, with an emphasis on improving efficiency and accuracy in automotive manufacturing through advanced simulations and experimental methods

🔬Awards:

Recipient of scholarships and academic recognition for research contributions in CAD and optimization.

Conclusion:

In conclusion, Dr. García-Donas is not only a prolific researcher but also a committed healthcare professional whose work has the potential to influence clinical practices significantly. Recognizing her contributions through the Research for Best Researcher Award would not only honor her achievements but also inspire continued excellence and innovation in the field of medicine.

Publications :

 

GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Published on by Global CAD Awards

Dr. GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Dr. GLORIA GARCIA-DONAS GABALDON, Servicio Andaluz de Salud SAS, Spain

Dr. Gloria Garcia-Donas Gabaldon is a medical professional affiliated with the Servicio Andaluz de Salud (SAS) in Spain. With expertise in her field, she is committed to providing high-quality healthcare and improving patient outcomes. Her work reflects a dedication to advancing medical practices and contributing to public health initiatives within the Andalusian healthcare system.

 

Summary:

Dr. Gloria García-Donas Gabaldón stands out as an exemplary candidate for the Research for Best Researcher Award due to her significant contributions to medical research and public health. Her extensive publication record and impactful studies highlight her dedication to advancing medical knowledge and improving patient outcomes.

 

Professional Profiles:

Google Scholar

🎓 Education :

Dr. García-Donas earned her Medical Degree from the University of Seville in 1995, followed by a specialization in Hematology and Hemotherapy in 2001 through the MIR program. She obtained her doctorate in 2008, with a thesis on the prevalence of the G20210A prothrombin mutation in thromboembolic disease, which received a “Cum Laude” distinction. Her academic foundation is reinforced by continuous professional development through numerous accredited courses.

🏢 Experience:

Dr. García-Donas has a diverse professional background, having worked across multiple hospitals in Andalusia, including her current position at Hospital U.V. Macarena in Seville since 2015. Her roles have included responsibilities in laboratory hematimetry and cytomorphology, as well as providing clinical care in various hematological conditions. Over her career, she has accrued significant experience managing anticoagulation therapy and immune thrombocytopenia, focusing on optimizing patient outcomes.

🛠️Skills:

Gloria García-Donas Gabaldón is an accomplished hematologist with extensive expertise in hematology, laboratory techniques, and clinical management. She specializes in oral anticoagulation therapy and immune thrombocytopenia, demonstrating proficiency in patient consultations and laboratory responsibilities. Her clinical acumen is complemented by her teaching and research skills, allowing her to effectively communicate complex concepts to peers and students.

Research Focus :

Her research interests center on thromboembolic disorders, immune thrombocytopenia, and hematological malignancies. She has contributed to the scientific community through various publications and presentations, focusing on genetic factors influencing thrombosis, treatment outcomes in hematological conditions, and novel therapeutic approaches in anticoagulation.

🔬Awards:

Dr. García-Donas has been recognized for her contributions to hematology, including awards for her research presentations at national and international conferences. Her work has significantly impacted clinical practices and treatment protocols, earning her respect within the medical community for her expertise and commitment to advancing the field of hematology.

 

Conclusion:

In conclusion, Dr. García-Donas is not only a prolific researcher but also a committed healthcare professional whose work has the potential to influence clinical practices significantly. Recognizing her contributions through the Research for Best Researcher Award would not only honor her achievements but also inspire continued excellence and innovation in the field of medicine.

 

Publications :
  • García-Donas Gabaldón G. “Síndromes hemorrágicos más frecuentes en el niño.” Pediatr Integral 1998; 3(3): 294-302.
  • García-Donas Gabaldón G. “Prevalencia de los polimorfismos genéticos asociados a trombofilia en población sana del sur de España.” Med Clin (Barc) 2004 Apr 17; 122(14): 556-7.
  • García-Donas Gabaldón G. “Anemia hemolítica autoinmune causada por autoanticerpos IgA.” Med Clin (Barc) 2004 Nov 13; 123(17): 678.
  • García-Donas Gabaldón G. “Aplasia pura de serie roja asociada a leucemia linfoide crónica con respuesta favorable a rituximab.” Med Clin (Barc) 2005 Nov 19; 125(18): 717-8.
  • García-Donas Gabaldón G. “The influence of the age in the risk of the prothrombin G20210A mutation for spontaneous venous thrombosis.” Med Clin (Barc) 2007 May 5; 128(17): 652-4.
  • García-Donas Gabaldón G. “Capítulo 4.2.4 MPL y mielofibrosis.” In: Manual para el manejo de pacientes con MIELOFIBROSIS. March 2015. ISBN: 978-84-938864-8-6.
  • García-Donas Gabaldón G. “MIELOFIBROSIS Recomendaciones básicas para el diagnóstico, pronóstico y tratamiento.” March 2015. ISBN: 978-84-938864-7-9.
  • García-Donas Gabaldón G. “Prevalencia de la mutación de la protrombina G20210A en la enfermedad tromboembólica.” Thesis, May 2008.
  • Villegas A, Núñez R, Gaya A, Cuevas-Ruiz MV, García-Donas Gabaldón G. “Presence of acute and chronic renal failure in patients with paroxysmal nocturnal hemoglobinuria: results of a retrospective analysis from the Spanish PNH Registry.” Ann Hematol 2017 Oct; 96(10): 1727-1733. doi: 10.1007/s00277-017-3059-x.
  • Matarraz S, Leoz P, Fernández C, Colado E, Chillón MC, García-Donas Gabaldón G. “Basophil-lineage commitment in acute promyelocytic leukemia predicts for severe bleeding after starting therapy.” Mod Pathol 2018 Aug; 31(8): 1318-1331. doi: 10.1038/s41379-018-0038-2.
  • Mingot-Castellano ME, García-Candel F, Benítez-Hidalgo O, et al. “Activated prothrombin complex concentrate to treat bleeding events in acquired hemophilia A: BAHAS study.” Eur J Haematol 2022 Dec; 109(6): 686-695. doi: 10.1111/ejh.13853.
  • Jiménez-Bárcenas R, García-Donas Gabaldón G, Campos-Álvarez RM, et al. “Treatment with fostamatinib in patients with immune thrombocytopenia: Experience from the Andalusian region in Spain-The Fostasur Study.” Br J Haematol 2024 May; 204(5): 1977-1985. doi: 10.1111/bjh.19443.
  • González-López TJ, Bermejo-Vega N, Cardesa-Cabrera R, et al. “Fostamatinib effectiveness and safety for immune thrombocytopenia in clinical practice.” Blood 2024 Aug 8; 144(6): 646-656. doi: 10.1182/blood.2024024250.

Hanyang Wan | Image processing |Best Researcher Award

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Mrs. Hanyang Wan | Image processing |Best Researcher Award

Mrs.Hanyang Wan,University of Electronic Science and Technology of China,China

Mrs. Hanyang Wan is affiliated with the University of Electronic Science and Technology of China, where she is actively involved in advancing research and education. Known for her expertise, Mrs. Wan contributes significantly to her field, fostering innovation and knowledge within the academic community in China.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

🎓 Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

🏢 Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

🛠️Skills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wang’s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

🔬Awards:

Dr. Wang’s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wang’s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

  • Ultrasonic Spectroscopy Studies of Casein in Water”
    Authors: MJW Povey, M Golding, D Higgs, Y Wang
    Published in: International Dairy Journal, 1999, 9(3-6): 299-303
    Citations: 38

 

  • “An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
    Authors: PV Nelson, MJW Povey, Y Wang
    Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
    Citations: 27
  • “A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
    Authors: Y Wang, MJW Povey
    Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
    Citations: 22

     

  • Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
    Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
    Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
    Citations: 3 
  • “Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
    Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
    Published in: Energies, 2024, 17(20): 5205
    Citations: Not yet available

Peter Yongtao Wang | Deep Learning |Best Researcher Award

Published on by Global CAD Awards

Dr. Peter Yongtao Wang | Deep Learning |Best Researcher Award

Dr.Peter Yongtao Wang,Tianma technology (Beijing),China

Dr. Peter Yongtao Wang is a prominent figure at Tianma Technology in Beijing, China. With a strong background in advanced engineering and technological innovation, Dr. Wang has led numerous projects in fields like smart manufacturing and materials science. His expertise has significantly contributed to the advancement of Tianma’s technologies, especially in creating solutions that bridge the gap between traditional industries and digital transformation.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

🎓 Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

🏢 Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

🛠️Skills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wang’s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

🔬Awards:

Dr. Wang’s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wang’s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

  • Ultrasonic Spectroscopy Studies of Casein in Water”
    Authors: MJW Povey, M Golding, D Higgs, Y Wang
    Published in: International Dairy Journal, 1999, 9(3-6): 299-303
    Citations: 38

 

  •  

    “An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
    Authors: PV Nelson, MJW Povey, Y Wang
    Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
    Citations: 27

  •  

    “A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
    Authors: Y Wang, MJW Povey
    Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
    Citations: 22

     

  • Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
    Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
    Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
    Citations: 3

     

  • “Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
    Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
    Published in: Energies, 2024, 17(20): 5205
    Citations: Not yet available