Counting of Underwater Static Objects Through an Efficient Temporal Technique by Atif Naseer, Enrique Nava

Get full text

FAQIVS: Face Query-based Interactive Video Synopsis* by Nagavani Chandrasekaran, Yogameena Balasubramanian

Get full text

Interactive design of digital museum based on artificial intelligence and user role model by Liu Shunli

“…User positioning is determined from the perspective of user research, and questionnaires and the overall architecture and functional process of the DM are formulated from the perspective of interaction design. …”
Get full text

Efficient colour filter array demosaicking with prior error reduction by M.S. Safna Asiq, WR Sam Emmanuel

Get full text

Mialgias: Approaches to differential diagnosis, treatment by Nadezhda Aleksandrovna Shostak

Get full text

Unsupervised Multistage-Clustering-Based Hammerstein Postdistortion for VLC by Rangeet Mitra, Vimal Bhatia

“…Recently, there has been a huge interest in research toward visible light communication (VLC) targeted toward fifth generation (5G) and beyond standards. …”
Get full text

Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration. by Weizheng Jiang, Dongqin Li, Chun Liu

“…Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. To address this gap, we construct a cognitive taxonomy trust in AI framework to describe and explain its interactive mechanisms in human-AI collaboration, specifically its complementary and inhibitive effects. …”
Get full text

A new method for the dynamic mesh stiffness calculation of spur gear under centrifugal effect by ZHANG Xiaocui, MO Guoyin, LIU Fuhao, ZHANG Jianqiang, JIANG Hanjun, ZHANG Jielu

“…Based on Euler beam theory,a original computational algorithm was proposed to calculate the dynamic mesh stiffness of spur gears considering driven-speed effects by introducing centrifugal effects into the velocity field. …”
Get full text

On developing a module for the stressFOAM solver of the OpenFOAM environment by Chitalov Dmitry

Get full text

Dynamical opinion clusters exploration suite: Modeling social media opinion dynamics by Henrique Ferraz de Arruda, Kleber Andrade Oliveira, Yamir Moreno

“…The library includes the simulation of a social network algorithm, user prioritization, and the ability to model changes in friendships.…”
Get full text

IMPROVING PHARMACEUTICAL COUNSELLING OF PHARMACIES VISITORS CHOOSING THE METHODS OF CONSERVATIVE TREATMENT OF VARICOSE DISEASE OF THE LOWER LIMBS (WITHOUT ULCERS AND INFLAMMATION) by N. N. CHESNOKOVA, S. V. KONONOVA, S. V. PETROVA

“…Systematic and integrated approaches, logical, comparative analysis, statistical, sociological methods were applied.Results. Research was conducted among 500 pharmaceutical specialists of Nizhny Novgorod Oblast, working in retail pharmaceutical organizations, during which they evaluated their professional competence in the field of pharmaceutical and basic medical knowledge. …”
Get full text

Optimizing Power Flow in Photovoltaic-Hybrid Energy Storage Systems: A PSO and DPSO Approach for PI Controller Tuning by Samira Heroual, Belkacem Belabbas, Yasser Diab, Mohamed Metwally Mahmoud, Tayeb Allaoui, Naima Benabdallah

Get full text

Measuring the Effectiveness of Carbon-Aware AI Training Strategies in Cloud Instances: A Confirmation Study by Roberto Vergallo, Luca Mainetti

“…While the massive adoption of Artificial Intelligence (AI) is threatening the environment, new research efforts begin to be employed to measure and mitigate the carbon footprint of both training and inference phases. …”
Get full text

Comparative Study of Machine Learning Techniques for Insurance Fraud Detection by Navin Duwadi, Anita Sharma

“…This paper comprehensively examines existing research through a systematic literature review. This review aims to identify previously attempted approaches and evaluate which machine learning algorithm is best suited for this specific problem. …”
Get full text

Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks. by Johannes Stegmaier, Jens C Otte, Andrei Kobitski, Andreas Bartschat, Ariel Garcia, G Ulrich Nienhaus, Uwe Strähle, Ralf Mikut

“…Automated analysis of multi-dimensional microscopy images has become an integral part of modern research in life science. Most available algorithms that provide sufficient segmentation quality, however, are infeasible for a large amount of data due to their high complexity. …”
Get full text

Kinematics Analysis of a Planar Symmetric (CRR)₂S-(3R)₂R Parallel Mechanism by Jie Li, Linxian Che, Li Du, Xin Zheng

“…Taking a planar symmetrical (CRR)2S-(3R)2R parallel mechanism with two translations and two rotations (2T2R) as the research object，based on the position and orientation characteristic set theory analyzes the number and nature of the mechanism’s degree of freedom and then this study analyzes its kinematics problems. …”
Get full text

Network function parallelism configuration with segment routing over IPv6 based on deep reinforcement learning by Seokwon Jang, Namseok Ko, Yeunwoong Kyung, Haneul Ko, Jaewook Lee, Sangheon Pack

Get full text

Multiple Organ Dysfunction After Cardiosurgical Interventions by L. S. Barbarash, Ye. V. Grigoryev, G. P. Plotnikov, B. L, Hayes, G. V. Moiseyenkov, D. L. Shukevich, S. V. Ivanov, Yu. N. Odarenko

Get full text

Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

“…One of the most important symptoms is muscle stiffness as well as slow movement. In this research, a method was developed to detect Parkinson's disease using machine learning,  learning transfer techniques were relied upon to extract features from handwriting images that we obtained from the NewHandPD database, and then these images were classified into two categories (Parkinson's disease and non-Parkinson's disease) by KNN classification algorithm, for being accurate and fast in calculations, the results  of the  training of the INCEPTION-V4 model showed  a detection accuracy of up to 93%, as well as an area under the curve of 0.89 with a loss of only 0.2 , where this model can be relied on to diagnose and detect Parkinson's disease with high accuracy. …”
Get full text

Distributed blockchain assisted secure data aggregation scheme for risk-aware zone-based MANET by V R. Sugumaran, E. Dinesh, R. Ramya, Elangovan Muniyandy

“…Abstract This research work proposes a Distributed Blockchain-Assisted Secure Data Aggregation (Block-DSD) technique for MANETs, ensuring high security and energy efficiency in disaster management scenarios. …”
Get full text