Importance of four-dimensional computed tomography simulation in locally advanced lung cancer radiotherapy: Impact on reducing planning target volume by Marić Slavica, Janjić Petar, Bosančić Borut, Mijailović Milan, Lukić Snežana

“…Four-dimensional (4D) computed tomography (CT) simulation is a useful tool for motion assessment in lung cancer radiotherapy. …”
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Delta Analyzer: Tool-based Evaluation of Modified Requirements for an Efficient Development Effort Estimation in the RFQ Process by Konstantin Zichler, Felix Ritter, Aaron Schul, Steffen Helke

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A roadmap for a comparison framework for an adaptable software process improvement framework in small software companies by Micheal Tuape, Yirsaw Ayalew

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Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models by Wenhui Li, Xianyue Jiang, Wuke Wang, Liya Hou, Runze Cai, Yongqian Li, Qiuxi Gu, Qinchang Chen, Peixiang Ma, Jin Tang, Menghao Guo, Guohui Chuai, Xingxu Huang, Jun Zhang, Qi Liu

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Implementation of a Monitoring Information System for Student Field Work Practices to Support Green Computing : Case Study of the Kertasemaya Teladan Vocational School by Riyan Farismana, Dita Rizki Amalia, Darsih Darsih

“…Kertasemaya Teladan Vocational School, as a school that has a commitment to being environmentally friendly, wants to implement this concept in field work practice activities where the two main focuses are reducing paper by implementing a field work practice monitoring information system where the attendance process, making daily journals, reports, complaints, and assessments can be used. web and mobile devices so that they are more efficient, the development process is carried out using the RAD method, which can save time and guarantee the quality of the system being developed, as well as the use of virtualization technology for servers using VPS, which is more energy and cost-efficient, which is the goal of green computing. …”
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Mask R-CNN aided fruit surface temperature monitoring algorithm with edge compute enabled internet of things system for automated apple heat stress management by Basavaraj R. Amogi, Rakesh Ranjan, Lav R. Khot

“…In orchard evaluations (2022 season), the resulting algorithm ported on CPSS was able to accurately segment (dice similarity coefficient = 0.89) and estimate apple FST with < 0.5 °C error compared to ground truth data. With compute time of about 37 s, data processing time was reduced by 22 % over previous algorithm. …”
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Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity by Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema, Alexander Szorkovszky, Anis Yazidi, Pedro G. Lind

“…Abstract Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. …”
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End User Computing Satisfaction : Model Analisis Kepuasan Pengguna Aplikasi Menggunakan Partial Least Square Structural Equation Modeling (Studi Kasus) by Aditia Angga Perdana, Meinarini Catur Utami, Qurrotul Aini

“…Metode riset ini menerapkan End-User Computing Satisfaction (EUCS) dengan cara kuantitatif dan diseminasi kuesioner mendapatkan informasi dari objek penelitian. …”
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Efficient Time-Series InSAR Data Processing via Modular Cloud-Native Parallelization by Peichen Yu, Chao Wang, Yixian Tang, Weikang Zhang, Lichuan Zou, Shaoyang Guan, Haihang You, Hong Zhang

“…Based on the concept of cloud-native computing, this study proposes a modular, multinode parallel framework for time-series interferometric SAR (InSAR) processing. …”
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Analysis of Data and Feature Processing on Stroke Prediction using Wide Range Machine Learning Model by Untari Novia Wisesty, Tjokorda Agung Budi Wirayuda, Febryanti Sthevanie, Rita Rismala

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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…Parallel processing is essential in machine learning to meet the computational requirements resulting from the complexity of algorithms and the size of the dataset, by taking advantage of the computational resources of parallel processing that can distribute computational operations across multiple processors. …”
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Vaccination Schedules Recommended by the Centers for Disease Control and Prevention: From Human-Readable to Machine-Processable by Xia Jing, Hua Min, Yang Gong, Mytchell A. Ernst, Aneesa Weaver, Chloe Crozier, David Robinson, Dean F. Sittig, Paul G. Biondich, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D. Boyce, Adam Wright, Christian Nøhr, Timothy D. Law, Arild Faxvaag, Lior Rennert, Ronald W. Gimbel

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Implementasi Metode Profile Matching dan Multi Factor Evaluation Process (MFEP) Dalam Seleksi Pencari Kerja by Heru Purwanto, Arfhan Prasetyo, Rachmat Suryadithya

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Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…Also, the presented method if free from training samples, thus allowing the benefits of computationally efficient and real-time processing that machine learning models wouldn't have. …”
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Parallel processing of past and future memories through reactivation and synaptic plasticity mechanisms during sleep by Khaled Ghandour, Tatsuya Haga, Noriaki Ohkawa, Chi Chung Alan Fung, Masanori Nomoto, Mostafa R. Fayed, Hirotaka Asai, Masaaki Sato, Tomoki Fukai, Kaoru Inokuchi

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Algorithm for Generating Bifurcation Diagrams Using Poincaré Intersection Plane by Luis Javier Ontañón-García, Juan Gonzalo Barajas-Ramírez, Eric Campos-Cantón, Daniel Alejandro Magallón-García, César Arturo Guerra-García, José Ricardo Cuesta-García, Jonatan Pena-Ramirez, José Luis Echenausía-Monroy

“…This work contributes to the study of dynamic systems by providing the reader with accessible tools for studying any dynamic system under established standards and reducing the computational time required for these types of studies by implementing these algorithms utilizing the multi-core processors found in modern computers.…”
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An SDR-Based GNSS-R CubeSat Payload: Hardware Development and Optimization of the Onboard Processing by Shah Zahid Khan, Yasir M. O. Abbas, Edwar Edwar, Abdul-Halim Jallad, Adriano Camps

“…This way the payload selectively processes the raw data, significantly reducing the computational load. …”
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Variance exchange process: overcoming the problem of singular information matrices in quadratic three−variable response designs by Okim Ikpan, Felix Nwobi

“… Many a time, in a variance exchange process looking for D-optimal designs, the initial designs of all quadratic components of three-variable response polynomials produce non-invertible information matrices. …”
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Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: A Case Study by Buket İşler, Şükrü Mustafa Kaya, Fahreddin Raşit Kılıç

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Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things by Hongan Wei, Yuxiang Liu, Kejian Hu, Liqun Lin, Youjia Chen, Tiesong Zhao, Wanjian Feng

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