Global miniaturization of broadband antennas by prescreening and machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Our technique includes parameter space pre-screening and the iterative refinement of kriging surrogate models using the predicted merit function minimization as an infill criterion. …”
Get full text

Robust integral sliding mode control for pressure management in multi-phase flow systems by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. Al-Dogail

“…The contributions of this research include the development of a data-driven system identification methodology using a single-input, single-output (SISO) Hammerstein model, enabling precise pressure prediction based on experimental data collected from the lab. …”
Get full text

SLAM: Sales Lead AMplification Through GenAI and ML for e-Learning Platforms by Ganesan Ramachandran, Tanmay Narang, Vallidevi Krishnamurthy

“…Through rigorous experimentation and analysis, singular models were first explored, followed by the integration into a stacking ensemble model, achieving an accuracy rate of 94%. …”
Get full text

Towards transparency in AI: Explainable bird species image classification for ecological research by Samparthi V.S. Kumar, Hari Kishan Kondaveeti

“…Six pretrained models are evaluated on the CUB 200-2011 dataset, with EfficientNetB0 achieving the highest accuracy (99.51%) and IoU score (0.43). …”
Get full text

Mixed Thermal and Renewable Energy Generation Optimization in Non-Interconnected Regions via Boolean Mapping by Pavlos Nikolaidis

“…Avoiding any need to introduce prior parameter settings, the solution utilizes state-of-the-art advancements in the field of artificial intelligence models, namely Boolean mapping. It allows for the efficient identification of the optimal configuration of a non-convex system with binary and discontinuous dynamics in the fewest possible trials, providing impressive performance. …”
Get full text

EMPLOYING GENETIC ALGORITHM INSPIRED HYPERPARAMETER OPTIMIZATION IN MOBILE NET V2 ARCHITECTURE by Baljinder Kaur, Manik Rakhra, Nonita Sharma, Monika Mangla

“…Here, authors have undertaken the case study of poultry disease identification to evaluate the effectiveness and efficiency of proposed solution.…”
Get full text

TextNeX: Text Network of eXperts for Robust Text Classification—Case Study on Machine-Generated-Text Detection by Emmanuel Pintelas, Athanasios Koursaris, Ioannis E. Livieris, Vasilis Tampakas

“…In this work, we propose TextNeX, a new ensemble model that leverages lightweight language models to achieve state-of-the-art performance while maintaining computational efficiency. …”
Get full text

Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…Spectral features, prominent in hyperspectral data, shine in tasks requiring precise material identification. However, managing extensive hyperspectral data poses challenges, prompting hybrid approaches for efficient data segmentation. …”
Get full text

Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions by Seong-Il Kang, Cheol Huh, Choong-Ki Kim, Meang-Ik Cho, Hyuek-Jin Choi

“…A rapid identification of oil would facilitate a prompt response and efficient removal in the event of an oil spill. …”
Get full text

YS3AM: Adaptive 3D Reconstruction and Harvesting Target Detection for Clustered Green Asparagus by Si Mu, Jian Liu, Ping Zhang, Jin Yuan, Xuemei Liu

“…This model provided essential spatial pathways for end-effector path planning, thereby fulfilling the operational requirements for efficient green asparagus harvesting robots.…”
Get full text

Harnessing Artificial Intelligence for the Diagnosis, Treatment and Research of Multiple Sclerosis by Manisha S. Patil, Linda Y. Lin, Rachel K. Ford, Elizaveta J. James, Stella Morton, Felix Marsh-Wakefield, Simon Hawke, Georges E. Grau

Get full text

Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…These algorithms employ natural selection and social behavior models to efficiently explore feature spaces, enhancing the robustness and generalizability of deep learning systems. …”
Get full text

DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…A hybrid with two branches of DBA-ViNet can efficiently integrate global and local features for improved disease identification accuracy. …”
Get full text

Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer Therapy by Fatma Hilal Yagin, Yasin Gormez, Cemil Colak, Abdulmohsen Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

“…By enabling early identification of bioactive compounds with favorable pharmacological profiles, the results of this study may support more efficient candidate selection for clinical drug development, particularly in regards to cancer therapy and kinase-associated disorders.…”
Get full text

Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

“…Our study aims to fill this research gap by proposing topical features to enhance the accuracy of tracking and efficiency of predictive models. In this study, we developed the Identification of Community Evolution by Mapping “ICEM” method by integrating topic modeling with network structure analysis to track community evolution. …”
Get full text

Data processing pipeline for scientific publications to identify priority research areas by Iskandar B. Soliev

Get full text

Engineering a controlled cardiac multilineage co-differentiation process using statistical design of experiments by Hirokazu Akiyama, Yosuke Katayama, Kazunori Shimizu, Hiroyuki Honda

“…In the trilineage co-differentiation stage, we developed unique multi-response models to delineate trilineage co-differentiation ratios within a defined parameter space of WNT signal inhibitor and vascular endothelial growth factor. …”
Get full text

Harnessing image processing for precision disease diagnosis in sugar beet agriculture by Varucha Misra, A.K. Mall

Get full text

Metabolic growth-coupling strategies for in vivo enzyme selection systems by Tobias B. Alter, Pascal A. Pieters, Colton J. Lloyd, Adam M. Feist, Emre Özdemir, Bernhard O. Palsson, Daniel C. Zielinski

“…Whole-cell biocatalysis facilitates the production of a wide range of industrially and pharmaceutically relevant molecules from sustainable feedstocks such as plastic wastes, carbon dioxide, lignocellulose, or plant-based sugar sources. The identification and use of efficient enzymes in the applied biocatalyst is key to establishing economically feasible production processes. …”
Get full text

Reliability Methods in Maintenance and Failure Analysis of Marine Systems by Damir BUDIMIR, Ivan GRGUREVIĆ, Jasna LEDER HORINA

“…Weibull analysis facilitated the identification of failure patterns and precise planning of maintenance intervals, while hidden Markov models (HMM) provided deeper insights into the dynamics of state transitions, such as degradation and failure. …”
Get full text