Packet Reordering Metrics to Enable Performance Comparison in IP-Networks by Pedro Rodrigues Torres-Jr, Eduardo Parente Ribeiro

“…We demonstrated the behaviour of some TCP congestion control algorithms by adjusting different levels of reordering. …”
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Performance Analysis of Ultra-Wideband Channel for Short-Range Monopulse Radar at Ka-Band by Naohiko Iwakiri, Natsuki Hashimoto, Takehiko Kobayashi

“…Next, conventional direction finding algorithms based on narrowband assumption were evaluated using the extracted multipath components, resulting in acceptable angle-of-arrival (AOA) from the UWB monopulse signal regardless of wideband signals. …”
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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

“…Many face detection models have been designed using different algorithms and techniques. The proposed approach in this paper developed to avoid mask-less people from entering to a desired places (i.e. …”
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Audio technology for improving social interaction in extended reality by Joanna Luberadzka, Enric Gusó Muñoz, Enric Gusó Muñoz, Umut Sayin, Adan Garriga

“…We also comment on the potential of using virtual reality as a tool for the development and evaluation of audio algorithms aimed at enhancing communication. Finally, we present the results of a pilot study comparing several audio enhancement techniques inside a virtual environment.…”
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The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh Ann-Ni, Puah Chin-Hong, Mohammad Affendy Arip, Jong Meng-Chang

“…The model’s accuracy rate was at a promising 92% based on the variable importance assessment using random forest algorithms. Through the implementation of bivariate wavelet coherence analysis, the empirical results indicated that the constructed indicator has a positive leading role in Malaysian tourism development and economic growth. …”
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Adaptive Finite-Time Control on SE(3) for Spacecraft Final Proximity Maneuvers with Input Quantization by Sai Zhang, Zhen Yang

“…Meanwhile, the hysteresis logarithmic quantizer is implemented to effectively reduce the frequency of data transmission and the quantization errors are reduced under the proposed controller. The algorithms outlined above are based on an integrated model expressed by SE3 and denoted by uniform motion states, which can simplify the design progress and improve control precision. …”
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Cross-Layer Optimization Scheme Using Cooperative Diversity for Reliable Data Transfer in Wireless Sensor Networks by Yongrui Chen, Fei Qin, Yulong Xing, Dujdow Buranapanichkit

“…By utilizing a cross-layer optimization scheme, distributive algorithms which jointly consider routing, relay selection, and power allocation strategies are proposed for the reliability constraint wireless sensor networks. …”
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MEL-IRIS: An Online Tool for Audio Analysis and Music Indexing by Dimitrios Margounakis, Dionysios Politis, Konstantinos Mokos

“…The tool implements specially designed algorithms and a unique way of visualization of the results. …”
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Deep neural networks have an inbuilt Occam’s razor by Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis

“…Abstract The remarkable performance of overparameterized deep neural networks (DNNs) must arise from an interplay between network architecture, training algorithms, and structure in the data. To disentangle these three components for supervised learning, we apply a Bayesian picture based on the functions expressed by a DNN. …”
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Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics by A. S. Pandit, A. Keenlyside, D. Z. Khan, G. Reischer, M. A. Kamal, N. Yoh, Z. Jaunmuktane, A. Borg, N. L. Dorward, S. E. Baldeweg, I. Davagnanam, H. Hyare, P. Nachev, H. J. Marcus

“…Expert annotations of both the tumor and adjacent carotid arteries ensure precise delineation, facilitating the development of automated segmentation algorithms. Our initiative addresses the need for standardized data in pituitary oncology, fosters collaboration and innovation, and enables the development and benchmarking of workflows that utilize pituitary radiomics for treatment planning and outcome prediction.…”
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Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence by Yanyan Dong, Jie Hou, Ning Zhang, Maocong Zhang

“…In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. …”
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Measuring. Monitoring. Management. Control by M.V. Sprindzuk, V.I. Bernik, A.P. Konchits

“…The emergence and importance of the research topic is substantiated by the colossal growth in the volume of accumulated and underprocessed medical information, the evolution of mathematical and algorithmic apparatus, and the need to improve existing data processing pipelines. …”

Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources by Lukas Peter Wagner, Felix Gehlhoff, Lasse Matthias Reinpold, Georg Frey, Julian Jepsen, Alexander Fay

“…This methodology utilizes a modular, generic model structure designed to depict systems of flexible energy resources. It incorporates algorithms for model parameter derivation from operational data and an information model that represents the system’s structure and dependencies of resources. …”
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A critical assessment of ionic liquid-based aqueous biphasic systems for biomolecules extraction and CO2 absorption by Viggy Wee Gee Tan, Yazan Abuhasheesh, Doris Ying Ying Tang, Yongyu Zhang, Zengling Ma, Lin Chen, Rambabu Krishnamoorthy, Pau Loke Show

“…The incorporation of machine learning (ML) algorithms to predict the toxicity and CO2 capture properties, as well as the scaling up of IL-ABSs, is also explored.…”
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A Decomposition-Based Approach for the Multiperiod Multiproduct Distribution Planning Problem by S. Ahmad Hosseini, Güvenç Şahin, Tonguç Ünlüyurt

“…Knowing that computational expenses of solving such a large-scale planning problem can be decreased by using decomposition techniques, the special structure of polyhedrals is utilized to develop algorithmic approaches based on decomposition techniques to handle the global problem aiming to save computational resources.…”
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Rule Acquisition in Formal Decision Contexts Based on Formal, Object-Oriented and Property-Oriented Concept Lattices by Yue Ren, Jinhai Li, Cherukuri Aswani Kumar, Wenqi Liu

“…Finally, some real examples and numerical experiments are conducted to compare the proposed rule acquisition algorithms with the existing one in terms of the running efficiency.…”
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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed

“…In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patterns. …”
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P-LEACH: An Efficient Cluster-Based Technique to Track Mobile Sinks in Wireless Sensor Networks by Sungchol Cho, Li Han, Bokgyu Joo, Sunyoung Han

“…For a wireless sensor network (WSN) with a large number of inexpensive sensor nodes, energy efficiency is the major concern in designing network structure and related algorithms. If network collects sensor data using mobile sinks, object tracking mechanism must consider the energy efficiency of sensor nodes in the networks as a whole. …”
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Applied of Classification Technique in Data Mining For Credit Scoring by Heriyanto Heriyanto, Ika Kurniawati, Fachri Amsury, Muhammad Rizki Fahdia, Irwansyah Saputra, Nanang Ruhyana, Asrul

“…In this study, a comparison of the Naive Bayes, C4.5 and KNN algorithms was carried out which was applied to consumer data that received credit eligibility for good and bad customers. …”
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Vibration dataset of main journal bearings in internal combustion engines under diverse climatic and varying operating conditionsMendeley Data by Muhammad Noman Riaz, Amir Hamza, Hamid Jabbar, Manzar Abbas, Mohsin Islam Tiwana

“…This dataset provides a valuable and reliable benchmark for researchers and practitioners to validate their diagnostic algorithms and models against real engine conditions, as no such dataset is publicly available.…”
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