System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…Road irregularities are treated as external disturbances to the system. Traditional PID controllers often fall short due to issues like nonlinear dynamics, uncertain parameters, and limited robustness. …”
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An exploratory network analysis to investigate schizotypy’s structure using the ‘Multidimensional Schizotypy Scale’ and ‘Oxford-Liverpool Inventory’ in a healthy cohort by Pierfrancesco Sarti, Werner Surbeck, Giacomo Cecere, Noemi Dannecker, Rahel Horisberger, Nils Kallen, Wolfgang Omlor, Anna Steiner, Dario Palpella, Marius Brandenberg, Victoria Edkins, Nicolas Langer, Johanna M. C. Blom, Philipp Homan

“…Abstract Schizophrenia spectrum disorders and schizotypy share traits across positive, negative, and disorganised domains. …”
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Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting. by Nicole A Doria-Rose, Han R Altae-Tran, Ryan S Roark, Stephen D Schmidt, Matthew S Sutton, Mark K Louder, Gwo-Yu Chuang, Robert T Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S Abdool Karim, James M Binley, Mark Connors, Barton F Haynes, Malcolm A Martin, David C Montefiori, Lynn Morris, Julie Overbaugh, Peter D Kwong, John R Mascola, Ivelin S Georgiev

“…At the individual donor level, the next-generation NFP algorithms particularly improved the ability to detect multiple epitope specificities in a sample, as confirmed both for computationally simulated polyclonal sera and for samples from HIV-infected donors. …”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…The dataset was then imported into a Jupyter notebook for further detailed analysis and visualization. …”
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Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales by David Schmidt, Frank Puppe

“…This requires the combination of algorithms for several tasks: coreference resolution for the identification of characters and their appearances, as well as speaker/addressee detection and the detection of dialogue boundaries for the identification of interactions. …”
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An Unequal Clustering and Multi-Hop Routing Protocol Based on Fuzzy Logic and Q-Learning in WSNs by Zhen Wang, Jin Duan

“…However, these approaches often do not address the common hotspot issue in multi-hop WSNs. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

“…For artificial intelligence-driven systems to be accurate, dependable, and applicable, ongoing validation, monitoring, and improvement efforts are essential. …”
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Evolutionary optimisation of pixelated IFA inspired antennas by Dominik Mair, Daniel Baumgarten

“…Abstract As wireless communication systems increasingly require compact and efficient antennas, conventional antenna design methods are proving difficult to meet the rigorous demands of modern applications. …”
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Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems by Wulfran Fendzi Mbasso, Ambe Harrison, Pradeep Jangir, Idriss Dagal, Hossam Kotb, Njimboh Henry Alombah, Raman Kumar, Aseel Smerat, Emmanuel Fendzi Donfack, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…Despite the great progress made in multi-objective optimization, convergence, diversity, and computational efficiency problems still exist—in particular, the high dimensional, multifaceted, conflicting objectives space. …”
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Stochastic logic in biased coupled photonic probabilistic bits by Michael Horodynski, Charles Roques-Carmes, Yannick Salamin, Seou Choi, Jamison Sloan, Di Luo, Marin Soljačić

“…Our method relies on the insight that coherent Ising machines composed of coupled and biased optical parametric oscillators can emulate stochastic logic. We demonstrate the feasibility of our approach by using numerical simulations equivalent to the full density matrix formulation of coupled optical parametric oscillators.…”
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Graph Based Cooperative Forwarding in Information Centric Vehicular Networks by Beri Surya Samantha, Nitul Dutta, Rajesh Mahadeva, Shashikant P. Patole, Gheorghita Ghinea

“…However, in wireless environment like Vehicular Network (V-Net), use of FIB is expensive due to high bandwidth demand for maintenance. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…Circumstances such as low-light and extreme darkness can lead to the loss of information, color, and quality in images. …”
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Salvage treatment strategies for refractory sudden sensorineural hearing loss—a comprehensive review and meta-analysis with practical recommendations by Piero Giuseppe Meliante, Piero Giuseppe Meliante, Luigi D’Avino, Giuseppe Barba, Edoardo Covelli, Carla Petrella, Christian Barbato, Antonio Minni, Antonio Minni

“…CIST showed promising potential in reducing cortical maladaptation to sound deprivation.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/view/CRD42025645069, Identifier, CRD42025645069.…”
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Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…The paper also describes the modeling of predictive models which can project potential outbreak of the disease and pest infestation using historical data and real time observations. …”
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RL-MAB-Based Resource Allocation for Efficient Bandwidth Utilization in Industrial IoT Networks by Dongyeong Seo, Kidong Nam, Kwansoo Jung

“…Recently, there have been ongoing efforts to realize automation by deploying mobile devices such as Automated Guided Vehicles (AGVs) in industrial processes, along with sensors and actuators. …”
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Machine Learning Introduces Electrophysiology Assessment as the Best Predictor for the Recovery Prognosis of Spinal Cord Injury Patients for Personalized Rehabilitation Approaches by Dionysia Chrysanthakopoulou, Charalampos Matzaroglou, Eftychia Trachani, Constantinos Koutsojannis

“…Machine learning’s (ML’s) increasing importance in medicine is driven by the growing availability of health data and improved algorithms. …”
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Revision and Comparative Study with Experimental Validation of Sliding Mode Control Approaches Using Artificial Neural Networks for Positioning Piezoelectric Actuator by Cristian Napole, Oscar Barambones, Jokin Uralde, Isidro Calvo, Eneko Artetxe, Asier del Rio

“…In particular, it discusses the application of diverse order sliding mode control techniques, such as conventional, twisting algorithms, super-twisting algorithms, and the prescribed convergence law, in combination with artificial neural networks. …”
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A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals by Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge

“…The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.…”
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Estimation Vehicular Waiting Time at Traffic Build-Up Queues by Mohamed Maher Ata, Mohamed El-Darieby, Baher Abdulhai, Emad Felemban, Saleh Basalamah, Basim Zafar

“…However, improving the reliability of delay estimates and real-time dissemination of information remains a challenge. …”
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Mobile Location With Multi-Spot Measurements Model Considering Anchor Node Position Errors by Chenyu Yang, Rui Ren, Dongkun Jin, Jiyan Huang

“…Extensive simulation results validate the efficacy of our proposed methods against the derived CRLB, demonstrating the potential of enhanced multi-spot techniques to significantly improve localization performance in dynamic WSN environments, with particular relevance to AAV swarm applications. …”
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