Publikacje

2023

• Xiong S.; Zhu C.; Chen Z.; Deveci M.; Chiclana F.; Skibniewski M.; On extended power geometric operator for proportional hesitant fuzzy linguistic large-scale group decision-making; Information Sciences; 2023
• Wu X.; Cao Y.; Liu W.; He Y.; Xu G.; Chen Z.; Liu Y.; Skibniewski M.; BIM-driven building greenness evaluation system: An integrated perspective drawn from model data and collective experts' judgments; Journal of Cleaner Production; 2023
• Chen Z.; Zhu Z.; Wang X.; Chiclana F.; Herrera-Viedma E.; Skibniewski M.; Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern; IEEE Transactions on Systems, Man, and Cybernetics: Systems; 2023
• Cong X.; Su P.; Wang L.; Wang S.; Qi Z.; Šaparauskas J.; Górecki J.; Skibniewski M.; Measuring the Construction Efficiency of Zero-Waste City Clusters Based on an Undesirable Super-Efficiency Model and Kernel Density Estimation Method; Systems; 2023
• Wang Z.; Chen Z.; Su Q.; Xiao L.; Govindan K.; Skibniewski M.; Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective; Journal of Innovation and Knowledge; 2023
• Cong X.; Qi Z.; Wang S.; Su P.; Wang L.; Šaparauskas J.; Górecki J.; Skibniewski M.; Ecological Welfare Performance Evaluation and Spatial–Temporal Difference Evolution of Blue Economic Zones: A Case Study of the Blue Economic Zone of Shandong Peninsula; Land; 2023
• Chen Z.; Lu J.; Wen J.; Wang X.; Deveci M.; Skibniewski M.; BIM-enabled decision optimization analysis for architectural glass material selection considering sustainability; Information Sciences; 2023
• Xiao L.; Chen Z.; Hou R.; Mardani A.; Skibniewski M.; Greenness-based subsidy and dual credit policy to promote new energy vehicles considering consumers' low-carbon awareness; Computers and Industrial Engineering; 2023
• Liu H.; Li Z.; Skibniewski M.; Wang L.; Cong X.; Górecki J.; Jin W.; Molding quality control with nonlinear forming method in 3D cement printing; Materials and Design; 2023
• Chen Z.; Zhou J.; Zhu C.; Wang Z.; Xiong S.; Rodríguez R.; Martinez L.; Skibniewski M.; Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework; Financial Innovation; 2023
• Bushelenkov S.; Paramonov A.; Muthanna A.; El-Latif A.; Koucheryavy A.; Alfarraj O.; Plawiak P.; Ateya A.; Multi-Story Building Model for Efficient IoT Network Design; Mathematics; 2023
• Rahimzadeh G.; Tay A.; Travica N.; Lacy K.; Mohamed S.; Nahavandi D.; Plawiak P.; Qazani M.; Asadi H.; Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review; Nutrients; 2023
• Patro K.; Allam J.; Neelapu B.; Tadeusiewicz R.; Acharya R.; Hammad M.; Yildirim O.; Plawiak P.; Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images; Information Sciences; 2023
• Daoui A.; Yamni M.; Altameem T.; Ahmad M.; Hammad M.; Plawiak P.; Tadeusiewicz R.; El-Latif A.; AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models; Sensors; 2023
• Sakr A.; Plawiak P.; Tadeusiewicz R.; Pławiak J.; Sakr M.; Hammad M.; ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection; Information Sciences; 2023
• Avci D.; Sert E.; Dogantekin E.; Yildirim O.; Tadeusiewicz R.; Plawiak P.; A new super resolution Faster R-CNN model based detection and classification of urine sediments; Biocybernetics and Biomedical Engineering; 2023
• Patro K.; Allam J.; Hammad M.; Tadeusiewicz R.; Plawiak P.; SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19; Biocybernetics and Biomedical Engineering; 2023
• Maher A.; Qaisar S.; Salankar N.; Jiang F.; Tadeusiewicz R.; Plawiak P.; EL-Latif A.; Hammad M.; Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning; Biocybernetics and Biomedical Engineering; 2023
• Saber S.; Meshoul S.; Amin K.; Plawiak P.; Hammad M.; A Multi-Attention Approach for Person Re-Identification Using Deep Learning; Sensors; 2023
• Rahim A.; Zhong Y.; Ahmad T.; Ahmad S.; Plawiak P.; Hammad M.; Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models; Sensors; 2023
• Hammad M.; Plawiak P.; ElAffendi M.; El-Latif A.; Latif A.; Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection; Sensors; 2023
• Subramaniam E.; Srinivasan K.; Qaisar S.; Plawiak P.; Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems; Sensors; 2023
• Osama M.; Ateya A.; Sayed M.; Hammad M.; Plawiak P.; El-Latif A.; Elsayed R.; Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions; Sensors; 2023
• Yamni M.; Daoui A.; Plawiak P.; Mao H.; Alfarraj O.; El-Latif A.; A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT; Sensors; 2023
• Prakash A.; Patro K.; Samantray S.; Plawiak P.; Hammad M.; A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching; Information; 2023