Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making by Mabel López Bordao, Antonia Ferrer Sapena, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez

“…We present a new method for trend analysis that integrates traditional foresight techniques with advanced data processing and artificial intelligence. It addresses the challenge of analyzing large volumes of information while preserving expert insight. …”
Get full text

Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms by Hien Nguyen, Samsul Huda, Yasuyuki Nogami, Tuy Tan Nguyen

“…We systematically evaluate lattice-based PQC implementations across both software platforms, including central processing units and graphics processing units, as well as hardware platforms like field-programmable gate arrays and application-specific integrated circuits, highlighting their strengths and limitations. …”
Get full text

Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis by Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou

Get full text

AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”
Get full text

Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI by Mona Ebadi Jalal, Adel Elmaghraby

“…The integration of Deep Semi-Supervised Learning (DSSL) with Continual Learning (CL) holds significant promise for advancing artificial intelligence systems capable of learning from limited labeled data while continuously adapting to new tasks. This review explores recent progress in combining DSSL and CL, referred to as Deep Semi-Supervised Continual Learning (DSCL), focusing on the potential to develop models capable of learning efficiently in dynamic environments through both labeled and unlabeled data while mitigating catastrophic forgetting. …”
Get full text

MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

Get full text

On the road to the metaverse: Point cloud video streaming: Perspectives and enablers by Patrick Enenche, Dong Ho Kim, Dongho You

“…Point cloud video streaming enables detailed 3D representations for applications like 3D scanning, AR, and VR. However, high data demands and complex encoding pose challenges, requiring efficient resource and latency management. …”
Get full text

Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis by D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh

“…By providing a framework for developing affective AI systems that can decode human emotion from intricate multimodal features, the study lays the groundwork for future research into further processing of such data streams in the longer term, including real-time processing, domain-specific adjustments, and extending the analysis to the addition of multi-channel sensor input combining physiological and temporal data streams.…”
Get full text

Evaluating blockchain platforms for IoT applications in Industry 5.0: A comprehensive review by Najmus Sakib Sizan, Diganta Dey, Md. Abu Layek, Md Ashraf Uddin, Eui-Nam Huh

“…Industry 5.0 emphasizes the collaborative relationship between humans and machines, requiring robust, decentralized systems to ensure security, accountability, and trust in interconnected ecosystems. Currently, IoT data processing is cloud-centric, which introduces challenges like fragmented data silos, limiting the potential for seamless and secure real-time analytics. …”
Get full text

Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos by Yufeng Zheng

“…However, the dataset (size, representation, diversity, balance, and processing) plays an important role in any data-driven models including ours. …”
Get full text

Innovative Office Furniture for Enhancing Employee Active Health by Ting Hu, Fangfang Yuan, Chengmin Zhou, Jake Kaner

Get full text

Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis by Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam

“…By leveraging nearby Multi-access Edge Computing (MEC) resources, VEC enhances data processing speed and reliability for applications like autonomous driving, real-time traffic management, and infotainment systems. …”
Get full text

XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

Get full text

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review by Mohammad Beheshti, Imad Eddine Toubal, Khuder Alaboud, Mohammed Almalaysha, Olabode B. Ogundele, Hamza Turabieh, Nader Abdalnabi, Suzanne A. Boren, Grant J. Scott, Butros M. Dahu

Get full text

Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review by Xikuan Zhang, Jin Chai, Yongfu Zhan, Danfeng Cui, Xin Wang, Libo Gao

“…Despite significant progress in design and application, challenges remain, particularly in mass production, wireless integration, real-time data processing, and long-term stability. To improve mass production feasibility, optimizing fabrication processes, reducing material costs, and incorporating automated production lines are essential for scalability and defect reduction. …”
Get full text

STORAGE METHODS INFLUENCE SOME PHYSICAL AND GRAVIMETRIC PROPERTIES OF JATROPHA (Jatropha curcas) SEEDS by Olajide Ayodele SADIKU, Matthew Ayoola OLUSEJE

“…Data were analysed using GENSTAT Discovery (Edition 4). …”
Get full text

Optimizing Euclidean Distance Computation by Rustam Mussabayev

“…These optimizations enable scalable and efficient processing for modern data-driven tasks, directly leading to reduced energy consumption and a minimized environmental impact.…”
Get full text

The Role of ChatGPT in Dermatology Diagnostics by Ziad Khamaysi, Mahdi Awwad, Badea Jiryis, Naji Bathish, Jonathan Shapiro

“…This review explores the application of ChatGPT in dermatological diagnosis, emphasizing its role in natural language processing (NLP) for clinical data interpretation, differential diagnosis assistance, and patient communication enhancement. …”
Get full text

Online clustering with interpretable drift adaptation to mixed features by Flavio Corradini, Vincenzo Nucci, Marco Piangerelli, Barbara Re

“…In the era of big data, the rapid pace and variability of information have become increasingly evident, particularly in areas like seasonal trends and manufacturing processes. …”
Get full text

Early Detection of Parkinson’s Disease Using AI Techniques and Image Analysis by Marilena Ianculescu, Corina Petean, Virginia Sandulescu, Adriana Alexandru, Ana-Mihaela Vasilevschi

“…Results: The selected approach achieves an overall accuracy of 95.24% and allows acquiring new test data using only a pencil and paper, without requiring a specialized device like a graphic tablet or a digital pen. …”
Get full text