An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images by Chandrajit Pal, Avik Kotal, Asit Samanta, Amlan Chakrabarti, Ranjan Ghosh

“…Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. …”
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Public Transport Driver Identification System Using Histogram of Acceleration Data by Nuttun Virojboonkiate, Adsadawut Chanakitkarnchok, Peerapon Vateekul, Kultida Rojviboonchai

“…The performance of our system is evaluated in many important aspects, considering axis of acceleration, sliding window size, number of drivers, classifier algorithms, and driving period. Additionally, the case study of impostor detection is implemented by modifying the driver identification module to identify a car thief or carjacking. …”
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Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

“…Abstract Meta-heuristic optimization algorithms are widely applied across various fields due to their intelligent behavior and fast convergence, but their use in optimizing engine behavior remains limited. …”
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CFD simulation of water diffusion in fruit drying: Case of apricot hemispheres by Sempou Alkistis, Lentzou Diamanto, Athanasiou Athanasios, Boudouvis Andreas, Xanthopoulos Georgios

“…The Levenberg-Marquardt (L-M) and Sparse Non-Linear Optimizer (SNOPT) optimization algorithms were implemented.…”
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Adrenal Insufficiency: A Forgotten Diagnosis in HIV/AIDS Patients in Developing Countries by David D. Nassoro, Mkhoi L. Mkhoi, Issa Sabi, Alfred J. Meremo, Paul S. Lawala, Issakwisa Habakkuk Mwakyula

“…Development of simple screening algorithms may help clinicians reach the diagnosis when approaching these patients. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…We assess the most widely used datasets and evaluation metrics, providing a comparison of leading algorithms in terms of precision and computational efficiency in tabular form. …”
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Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains by Maryam Vahabi, Vikram Gupta, Michele Albano, Raghuraman Rangarajan, Eduardo Tovar

“…Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with low overhead. …”
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A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Moreover, as deep learning techniques continue to advance and make important breakthroughs in various fields, researchers are using this technology to progressively optimize the effectiveness of Event Detection (ED) and tracking algorithms. In this regard, this paper presents an in-depth comprehensive review of the concept and methods involved in ED and tracking in social networks. …”
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Feature Extraction and Selection Scheme for Intelligent Engine Fault Diagnosis Based on 2DNMF, Mutual Information, and NSGA-II by Peng-yuan Liu, Bing Li, Cui-e Han, Feng Wang

“…A novel feature extraction and selection scheme is presented for intelligent engine fault diagnosis by utilizing two-dimensional nonnegative matrix factorization (2DNMF), mutual information, and nondominated sorting genetic algorithms II (NSGA-II). Experiments are conducted on an engine test rig, in which eight different engine operating conditions including one normal condition and seven fault conditions are simulated, to evaluate the presented feature extraction and selection scheme. …”
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A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation by Saima Shaheen, M. Younus Javed, Muid Mufti, Shehzad Khalid, Aasia Khanum, Shoab A. Khan, M. Usman Akram

“…In order to eliminate surplus data, standard video compression algorithms exploit spatial and temporal correlation present in video sequence. …”
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Wireless Sensing Based on RFID and Capacitive Technologies for Safety in Marble Industry Process Control by Fabrizio Iacopetti, Sergio Saponara, Luca Fanucci, Bruno Neri

“…Data integrity check and process control algorithms have to be implemented for the safety and reliability of the overall industrial process.…”
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Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

“…Furthermore, based on the data from CHAMPS, we present three pragmatic algorithmic approaches to the wide array of testing options for cost-effectiveness and scalability of postmortem MITS in South African state facilities. …”
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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…Abstract This investigation presents the development and characterization of an advanced piezoelectric perovskite-based biosensing platform optimized for formalin detection in aqueous media through the implementation of Locally Weighted Linear Regression (LWLR) machine learning algorithms. The sensor architecture operates within the terahertz spectral region and incorporates an advanced nanomaterial composite system comprising black phosphorus, gold nanostructures, graphene, and barium titanate to maximize detection sensitivity and operational performance metrics. …”
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mmPrivPose3D: A dataset for pose estimation and gesture command recognition in human-robot collaboration using frequency modulated continuous wave 60Hhz RaDARMendeley Data by Nima Roshandel, Constantin Scholz, Hoang-Long Cao, Milan Amighi, Hamed Firouzipouyaei, Aleksander Burkiewicz, Sebastien Menet, Felipe Ballen-Moreno, Dylan Warawout Sisavath, Emil Imrith, Antonio Paolillo, Jan Genoe, Bram Vanderborght

“…Our dataset serves as a fundamental resource for developing machine learning algorithms to improve the accuracy of pose estimation and gesture recognition using RaDAR data.…”
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Statistical assessment of interrelationship of marriage and divorces to fertility by A. B. Sinelnikov, O. A. Zolotareva, M. D. Khabib

“…A number of indicators complement the traditional methodology of marriage and divorce tables calculation. The algorithms for obtaining the indicators proposed for implementation (in particular, the cumulative marriage rate of divorcees, the level of divorces compensation by legal remarriages, etc.) have been prescribed, and their estimations have been made, which substantiates the scientific significance of the study. …”
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Structural Health Monitoring of Precast Concrete Box Girders Using Selected Vibration-Based Damage Detection Methods by Zhengjie Zhou, Leon D. Wegner, Bruce F. Sparling

“…A box girder removed from a dismantled bridge was used to evaluate the ability of five different VBDD algorithms to detect and localize low levels of spalling damage, with a focus on using a small number of sensors and only the fundamental mode of vibration. …”
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Bicubic ribbon surface by V. A. Korotkiy, E. A. Usmanova

“…The article presents algorithms for calculating a bicubic band based on the use of boundary curve equations as the main boundary conditions. …”
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An Android-Based Heart Monitoring System for the Elderly and for Patients with Heart Disease by Paola Pierleoni, Luca Pernini, Alberto Belli, Lorenzo Palma

“…The system developed by our team uses sophisticated algorithms to detect stress states, detect and classify arrhythmia events, and calculate energy consumption. …”
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Old Wine in New Wineskins: Applying Computational Methods in New Testament Hermeneutics by Christian Houth Vrangbæk, Eva Elisabeth Houth Vrangbæk, Jacob Mortensen

“…This article explores some of the advantages and disadvantages in employing computational/algorithmic approaches, such as so-called semantic models of word embedding and topic modelling analysis. …”
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Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…Moreover, the paper provides a detailed overview of the proposed traffic monitoring and management solutions, along with systems for monitoring road and environmental conditions, including the sensors used and the Machine Learning (ML) algorithms implemented. Finally, this review also presents an overview of innovative commercial solutions, illustrating advanced devices for driver monitoring, vehicle condition assessment, and traffic and road management.…”
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