Efficient Prefetch and Issue Scheduling Approaches for Simultaneous Multithreading Applied to Superscalar RISC-V Processor by Hananya Ribo, Shlomo Greenberg

“…This work suggests a new 2-way superscalar in-order Multithreading (MT) micro-architecture applied to a superscalar RISC-V processor. This work also proposes efficient prefetch-scheduling and Issue-scheduling algorithms for Simultaneous Multithreading (SMT) processors. …”
Get full text

A dataset for two-echelon electric vehicle routing problemsZenodoZenodo by Mehmet Anıl Akbay, Christian Blum

“…Key modifications include integrating satellite locations, enhanced vehicle configurations concerning electric vehicle (EV) constraints, and adjusting time windows to accommodate the two-echelon structure. The dataset also supports multiple delivery scenarios, allowing for single delivery, simultaneous pickups and deliveries (SPD), and partial deliveries, enabling researchers to test the performance of their algorithms across a range of realistic constraints.…”
Get full text

Parametric BIM and Machine Learning for Solar Radiation Prediction in Smart Growth Urban Developments by Seongchan Kim, Jong Bum Kim

“…Among the four ML models, XGBoost had higher predictability for multiple urban blocks. The results also showed that the performance of ML algorithms is sensitive to data diagnosis and model selection techniques.…”
Get full text

VisME: Visual microsaccades explorer by Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf

“…Research studies often apply filter algorithms and parameter values for microsaccade detection. …”
Get full text

A SAP-DoA Method for the Localization of Two Buried Objects by Simone Meschino, Lara Pajewski, Giuseppe Schettini

“…Several simulations have been performed to compare different DoA algorithms and to test the localization method in the presence of two buried cylinders. …”
Get full text

An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach by Natasha Nigar, Hafiz Muhammad Faisal, Muhammad Kashif Shahzad, Shahid Islam, Olukayode Oki

“…In these systems, the meter reader, besides reading, also collects meter images, which are used to manually audit the meter’s accuracy. …”
Get full text

Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification. …”
Get full text

Application of first-order logic to identify organizers and perpetrators of illegal actions in teams of a limited circle of people by A. М. Sobol, E. I. Kozlova, Yu. A. Chernyavsky

“…There are three main families of inference algorithms in first-order logic: direct inference and its application to deductive databases and production systems; backward inference procedures and logic programming systems; theorem proving systems based on the resolution method. …”
Get full text

Redefining the role of supervisors in the era of artificial intelligence: implications for hybrid postgraduate research governance by Bunmi Isaiah Omodan

“…Drawing on theoretical frameworks and recent case studies, this paper interrogates the power dynamics introduced by AI, exploring whether it democratises access to supervision or exacerbates hierarchical inequalities in knowledge production. It also evaluates the ethical and governance challenges posed by AI, including algorithmic biases, accountability gaps, and intellectual property dilemmas. …”
Get full text

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop by Melanie Goisauf, Mónica Cano Abadía, Kaya Akyüz, Maciej Bobowicz, Alena Buyx, Ilaria Colussi, Marie-Christine Fritzsche, Karim Lekadir, Pekka Marttinen, Michaela Th Mayrhofer, Janos Meszaros

“…These include not only algorithmic bias but also human, institutional, social, and societal factors, which are critical to foster AI systems that are both ethically sound and socially responsible. …”
Get full text

Innovative Business Models Towards Sustainable Energy Development: Assessing Benefits, Risks, and Optimal Approaches of Blockchain Exploitation in the Energy Transition by Aikaterini Papapostolou, Ioanna Andreoulaki, Filippos Anagnostopoulos, Sokratis Divolis, Harris Niavis, Sokratis Vavilis, Vangelis Marinakis

“…To optimally exploit blockchain, innovative business models need to be designed, identifying the opportunities emerging from unmet needs, while also considering potential risks so as to take action to overcome them. …”
Get full text

Digital Humanities & Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents by Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI

“…It also provides practical references for other university libraries, which is an important guide. …”
Get full text

Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations by Fabio Frazao, Ruth Joy, Michael Dowd

“…DNNs were built for each of these representations singly, and we also built DNNs that combined two representations as inputs. …”
Get full text

THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

“…By complementing information technologies with cognitive ones, which take into account the individual and general cognitive students’ abilities, it is possible not only to encourage professional training but also to enhance the overall cognitive efficiency of future specialists. …”
Get full text

Serum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy by Jolanta Smok-Kalwat, Stanisław Góźdź, Paweł Macek, Zuzanna Kalwat, Maryna Khalavka, Wioletta Rzad, Andrzej Stepulak, Joanna Depciuch

“…The samples were measured using FTIR and subsequently analyzed by machine learning (ML) algorithms in order to show which fluids (serum or plasma) would better enhance detection of lung cancer. …”
Get full text

Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen shoulder by Han-tao Jiang, Li-ping Shen, Meng-Qi Pang, Min-jiao Wu, Jiang Li, Wei-jie Gong, Gang Jin, Rang-teng Zhu

“…Except for DCN, the other four genes were upregulated in FS samples, and the expression of SNAI1, TWIST1, and TUBB2B was also observed to be significantly upregulated in RT-qPCR. …”
Get full text

Marine soundscape forecasting: A deep learning-based approach by Shashidhar Siddagangaiah

“…Despite the rapid development of anomaly detection algorithms and deep-learning models for forecasting, their application to marine soundscapes remains unexplored. …”
Get full text

Three-dimensional linkage analysis with digital PCR for genome integrity and identity of recombinant adeno-associated virus by Tam Duong, Michele Firmo, Chien-Ting Li, Bingnan Gu, Peng Wang

“…Consequently, our comprehensive AAV analytical package not only offers insights into viral genome titer but also provides valuable information on its integrity and identity. …”
Get full text

Machine Learning-Driven Prediction of One-Year Readmission in HFrEF Patients: The Key Role of Inflammation by Ma F, Hu Y, Han P, Qiu Y, Liu Y, Ren J

“…Seven machine learning (ML) algorithms were trained and validated using a 7:3 dataset split; the metrics of the model included the area under the curve (AUC), accuracy, sensitivity, specificity, F1 score, and Brier score. …”
Get full text

EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments by Asfandyar Khan, Faizan Ullah, Dilawar Shah, Muhammad Haris Khan, Shujaat Ali, Muhammad Tahir

“…Our future studies will focus on long-term testing of the EcoTaskSched model in real-world IoT environments. We will also assess its applicability by integrating other ML models, which could provide enhanced insights for optimizing scheduling algorithms across diverse fog-cloud settings.…”
Get full text