STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets by Kendra Givens, David Ludwig, Joshua Phillips

“…Current deep-learning techniques for processing sets are limited to a fixed cardinality, causing a steep increase in computational complexity when the set is large. …”
Get full text

CFGWC-PSO in Analyzing Factors Affecting the Spread of Dengue Fever in East Java Province by Siti Nurmardia Abdussamad, Suci Astutik, Achmad Effendi

“…CFGWC-PSO using the FCM method to determine the context variable. Processing used the results of clustering with 2 clusters until 5 clusters. …”
Get full text

Event-Based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation by Craig Iaboni, Pramod Abichandani

“…An open-source repository along with detailed examples of Python code and resources for building SNN models, event-based data processing, and SNN simulations are provided. Key challenges in SNN training, hardware integration, and future directions for CV applications are also identified.…”
Get full text

Timing and Operating Mode Design for Time-Gated Fluorescence Lifetime Imaging Microscopy by Chao Liu, Xinwei Wang, Yan Zhou, Yuliang Liu

“…Aiming at different applications of steady and transient fluorescence processes, two different operation modes, timing and lifetime computing algorithm are designed. …”
Get full text

On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective by Fragkiskos Ninos, Konstantinos Karalas, Dimitrios Dechouniotis, Michael Polemis

“…The numerical results illustrate that the processing time of CPU-intensive tasks is reduced significantly using dynamic resource scaling, while data integrity and security requirements are fulfilled.…”
Get full text

Planetary Boundaries: designing (fair?) limits to assess performance at the country level by Hy Dao, Hy Dao, Damien Friot

“…The Planetary Boundaries framework, published in 2009 and updated in 2015 and 2023, proposes limits for nine environmental processes, which should not be transgressed to maintain the stability and resilience of the Earth system. …”
Get full text

Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact by Dildar Hussain, Naseem Abbas, Jawad Khan

“…This review presents a detailed examination of the most recent advancements in positron emission tomography–computed tomography (PET-CT) multimodal imaging over the past five years. …”
Get full text

Implementation of an Approximate Conformal UPML in 2-D DGTD by Linqian Li, Bing Wei, Qian Yang, Debiao Ge

“…Using the numerical discrete technique with unstructured grids, conformal perfectly matched layer (PML) absorbing boundary in the discontinuous Galerkin time-domain (DGTD) can be set flexibly so as to save lots of computing resources. Based on the DGTD equations in an orthogonal curvilinear coordinate system, the processes of parameter transformation for 2-D UPML between the coordinate systems of elliptical and Cartesian are given; and the expressions of transition matrix are derived. …”
Get full text

Q-Pandora Unboxed: Characterizing Resilience of Quantum Error Correction Codes Under Biased Noise by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…Quantum error correction codes (QECCs) are essential for reliable quantum computing as they protect quantum states against noise and errors. …”
Get full text

Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product by Yizhuo Zhang, Fengwei Zhang, Jinxiang Cheng, Huan Zhao

“…Power and performance of computing with the analyzed given data are applied in the proposed DL method within fish farming. …”
Get full text

An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche, Mohamed Djerioui, Youcef Brik, Bilal Attallah, Samir Brahim Belhaouari

“…Such algorithms are state-of-the-art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”
Get full text

The Impact of Artificial Intelligence Technologies on International Relations by A. D. Korobkov

“…The automation of human activity has been growing every year for the past ten years thanks to AI algorithms, increasing the amount of big data and computing power. Today, artificial intelligence technologies are used in everyday life, automating processes previously performed by humans. …”
Get full text

Deep learning-based multimodal trajectory prediction methods for autonomous driving: state of the art and perspectives by Jun HUANG, Yonglin TIAN, Xingyuan DAI, Xiao WANG, Zhixing PING

“…Although deep learning methods have achieved better results than traditional trajectory prediction algorithms, there are still problems such as information loss, interaction and uncertainty difficulties in modelling, and lack of interpretability of predictions when implementing multimodal high-precision prediction for autonomous vehicles in heterogeneous, highly dynamic and complex changing environments.The newly developed Transformer's long-range modelling capability and parallel computing ability make it a great success not only in the field of natural language processing, but also in solving the above problems when extended to the task of multimodal trajectory prediction for autonomous driving.Based on this, the aim of this paper is to provide a comprehensive summary and review of past deep neural network-based approaches, in particular the Transformer-based approach.The advantages of Transformer over traditional sequential network, graphical neural network and generative model were also analyzed and classified in relation to existing challenges, simultaneously.Transformer models can be better applied to multimodal trajectory prediction tasks, and that such models have better generalisation and interpretability.Finally, the future directions of multimodal trajectory prediction were presented.…”
Get full text

CYBER-PHYSICAL SOCIAL SYSTEMS: APPLICATION AREAS, EXISTING PROBLEMS AND PERSPECTIVES by Araz Mustafa

“…These systems consist of sensors, actuators, and computing devices that interact with the real world to monitor, analyze, and make decisions based on the obtained data. …”
Get full text

Current developments, applications, challenges and future trends in internet of things: A survey by Maha Helal

“…This digital shift has enabled advancements in a number of fields, leading to improved resource efficiency, systems and processes. The Internet of Things (IoT) refers to a system of interconnected devices that share information that exchange information with one another via the internet. …”
Get full text

Engineering The Future of Higher Education: A VOSviewer Analysis of Smart University Trends in The Digitalization and Industry 5.0 Era by Rosak-Szyrocka Joanna

“…Significant issues include the use of IoT, AI, and cloud computing for enhancing processes, learning environments, and safety on campus. …”
Get full text

Variational approach to photonic quantum circuits via the parameter shift rule by Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino

“…Finally, we employ the developed approach to experimentally test variational algorithms with single-photon states processed in a reconfigurable six-mode universal integrated interferometer. …”
Get full text

Design and Implementation of a State-Driven Operating System for Highly Reconfigurable Sensor Networks by Tae-Hyung Kim

“…Sensed data fusion might be needed before being transmitted as a tradeoff between procession and transmission in consideration of saving power consumption. …”
Get full text

Data Mining Techniques for Wireless Sensor Networks: A Survey by Azhar Mahmood, Ke Shi, Shaheen Khatoon, Mi Xiao

“…Recently, data management and processing for wireless sensor networks (WSNs) has become a topic of active research in several fields of computer science, such as the distributed systems, the database systems, and the data mining. …”
Get full text

A Framework for Automated Digital Media Asset Acquisition using Cloud by Adrian VINTILA, Constanta Nicoleta BODEA

“…Traditional media ingestion, particularly in news production, often involves manual processes such as physical file transfers, operator intervention, and transcoding delays, which can slow down content availability. …”
Get full text