Publikationer 2026
Publikationer
Artiklar i tidskrifter
Artiklar, forskningsöversikter
Doktorsavhandlingar, sammanläggningar
Artiklar i tidskrifter
Maheswari V, U. , Kumar B, S. , Aluvalu, R. , Kumar Ka, J. , Sekaran, K. , Seyed Jalaleddin, M. & Tejani, G. G. (2026). A CNN-GRU framework for stroke–heart attack prediction using IMOWPA-tuned SMOTE and LZMA compression. Digital Health, vol. 12
Zheng, T. , Ma, H. , Lu, B. , Thar, K. , Gidlund, M. , Guizani, M. & Zhang, H. (2026). A High Performance Real-Time Traffic Prediction Method Based on Hybrid Integrated Model for High-Speed Railway Networks. IEEE Transactions on Intelligent Transportation Systems,
Al-Saleh, A. , Ateyeh Al-Shqeerat, K. H. , Hamed AL Abadleh, A. , Dutta, A. K. , Tejani, G. G. & Seyed Jalaleddin, M. (2026). A hybrid deep learning framework for early detection of developmental disabilities using speech and behavioral biomarkers. Array, vol. 29
Farsani, S. T. , Seyed Jalaleddin, M. & Ghobaei-Arani, M. (2026). A novel binary human mental search algorithm for feature selection in classification tasks. Egyptian Informatics Journal, vol. 33
Ramezankhani, M. , Boghosian, A. & Seyed Jalaleddin, M. (2026). A Novel Reinforcement Learning-Based Feature Selection with Scope Loss and Evolutionary Optimization for Accurate Real Estate Tax Forecasting. International Journal of Computational Intelligence Systems, vol. 19: 1
Seyed Jalaleddin, M. , Shallari, I. & O'Nils, M. (2026). A Transfer Learning CNN approach for automated Plant Growth Temporal Labelling : Addressing Class-Based Variability Paradox and introducing novel metrics. Measurement, vol. 268
Zakaryapour Sayyad, F. , Pettersson, T. , Seyed Jalaleddin, M. , Shallari, I. & O'Nils, M. (2026). AdAPT : Advertisement detector adaptation under newspaper domain shift with null-based pseudo-labeling. Machine Learning with Applications, vol. 23
Al-Shqeerat, K. H. A. , AL Abadleh, A. H. , Dutta, A. K. , Tejani, G. G. , Sharma, S. K. & Seyed Jalaleddin, M. (2026). An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification. Journal of Big Data, vol. 13: 1
Zareeihemat, P. , Farokhi, A. , Valipour, J. , Moravvej, S. V. & Seyed Jalaleddin, M. (2026). An Evolutionary Hyperparameter-Optimized Off-Policy Feature Selection for Real Estate Tax Prediction. International Journal of Computational Intelligence Systems, vol. 19: 1
Anumothu, M. , Priyadarshini, G. M. A. , Bindu, C. H. , Aluvalu, R. , Mallellu, S. P. , Kumar, P. , Tejani, G. G. & Seyed Jalaleddin, M. (2026). An FSM-Enabled Reconfigurable Debugging Approach for Area-Optimized FIR Filters on FPGA Platforms. IET Circuits, Devices & Systems, vol. 2026: 1
Mirza, A. F. , Nasir, A. A. , Jung, H. , Mahmood, A. , Hassan, S. A. & Gidlund, M. (2026). Beyond Directional-RIS Aided NOMA-ISAC Networks : A DRL Approach for Sum-Rate Optimization. IEEE Wireless Communications Letters, vol. 15, ss. 725-729.
Berg, O. A. B. , Saqib, E. , Jantsch, A. , Sánchez Leal, I. , Shallari, I. , Krug, S. & O'Nils, M. (2026). BranchySplit : Runtime-Adaptable Partitioning and Early Exits for Accelerated Edge Inference. IEEE Access, vol. 14, ss. 6833-6846.
Liu, Y. , Wang, H. & Gidlund, M. (2026). Concurrent Wireless Power Transfer in the Internet of Batteryless Things : Experiment and Modeling. IEEE Transactions on Mobile Computing, vol. 25: 3, ss. 4048-4062.
Seyed Jalaleddin, M. , Ebrahimpour-Komleh, H. & Schaefer, G. (2026). Convergence analysis of the human mental search algorithm by a Markov model. Knowledge-Based Systems, vol. 333
Ullah, S. A. , Hassan, S. A. , Abou-Zeid, H. , Qureshi, H. K. , Jung, H. , Mahmood, A. , Gidlund, M. , Imran, M. A. & et al. (2026). Convergence of MEC and DRL in Non-Terrestrial Wireless Networks : Key Innovations, Challenges, and Future Pathways. IEEE Communications Surveys and Tutorials, vol. 28, ss. 1950-1985.
Kuang, M. , Zou, X. , Xie, F. , Li, X. , Chen, S. , Liu, D. , Zhang, Y. , Bader, S. & et al. (2026). DDM-YOLO : A lightweight oriented detection model for mature daylily fruits in complex environments. Journal of King Saud University Computer and Information Sciences, vol. 38: 3
Hu, T. , Seyed Jalaleddin, M. , Afsharizadeh, M. & O'Nils, M. (2026). Deep Learning for MRI-Based Neurological Disease Diagnosis : A Comprehensive Survey of Advances, Challenges, and Benchmarks. International Journal of Computational Intelligence Systems, vol. 19: 1
Mahdi, S. , Elbatal, I. , Abdelwahab, M. M. , Tawhid, M. , Seyed Jalaleddin, M. & Wagdy, A. (2026). Derivative-free methods (Conjugate Gradient Methods) for dealing with nonlinear equations and image restoration. Numerical Algorithms,
Anka, F. , Soleimanian Gharehchopogh, F. , Seyed Jalaleddin, M. & Tejani, G. G. (2026). Discrete Puma Optimizer to Solve Combinatorial Optimization Problems. International Journal of Computational Intelligence Systems, vol. 19: 1
Takhtardeshir, S. , Olsson, R. , Guillemot, C. & Sjöström, M. (2026). DUALF-D : Disentangled dual-hyperprior approach for light field image compression. Signal processing. Image communication, vol. 140
Eslami, R. , Biswas, D. , Takhtardeshir, S. , Sharif, S. S. & Banad, Y. M. (2026). Efficient Memristor Neural Networks for Edge AI : On-Chip Learning, Noise Robustness, Device–Variation Tolerance, and Sublinear Energy and Time Scaling. IEEE Transactions on Computers,
Katkar, V. D. , Mandal, R. , Biswas, U. , Lunagaria, M. , Tejani, G. G. & Seyed Jalaleddin, M. (2026). Enhancing biometric authentication privacy and security : A synergistic approach using cancelable biometrics and federated learning. Alexandria Engineering Journal, vol. 135, ss. 36-63.
Sarkar, A. D. , Roy, P. K. , Mandal, B. , Tejani, G. G. & Seyed Jalaleddin, M. (2026). Enhancing renewable energy utilization through solar, wind, and electric vehicles in the grid using a chaotic-based prairie dog optimization algorithm. Results in Control and Optimization, vol. 22
Menk, R. H. , Agostini, G. , Arfelli, F. , Bulli, G. , Foroughi, F. & Li, M. (2026). Enhancing X-ray absorption spectroscopy with time-resolved pixel detectors. Journal of Instrumentation, vol. 21: 01, ss. C01039-C01039.
Sun, W. , Xie, F. , Zhang, Y. , Wei, L. , Chu, F. & Tang, X. (2026). FDE : A Frequency-Domain Enhancement method for object detection in complex traffic scenes. Computer Vision and Image Understanding, vol. 265
Merabet, A. , Saighi, A. , Laboudi, Z. , Abderraouf Ferradji, M. , Harous, S. , Seyed Jalaleddin, M. & Almazyad, A. S. (2026). Few-shot learning and explainable AI for colon cancer histopathology : A prototypical network with multi-technique interpretability. International Journal of Medical Informatics, vol. 206
Ullah, S. A. , Bibi, M. , Hassan, S. A. , Abou-Zeid, H. , Qureshi, H. K. , Jung, H. , Mahmood, A. , Gidlund, M. & et al. (2026). From Nodes to Roads : Surveying DRL Applications in MEC-Enhanced Terrestrial Wireless Networks. IEEE Communications Surveys and Tutorials, vol. 28, ss. 1169-1208.
Lu, Y. , Li, Y. , Liu, H. , Zhang, Y. , Wang, X. , Chen, M. , Zhao, C. & Abdel Wahab, M. A. (2026). Learning multi-dimensional sensor relationships for robust marine pipeline leakage non-destructive detection via adaptive graph networks. Engineering structures, vol. 350
Fält, M. , He, Q. , Forsström, S. & Zhang, T. (2026). LogDEC : Unsupervised Log Anomaly Detection in Complex IT Environments using Deep Embedded Clustering and Sequential Models. IEEE Access, vol. 14, ss. 19030-19040.
Homayoun, H. , Seyed Jalaleddin, M. , Zareian Baghdadabad, L. , Arabzadeh Bahri, R. , Menbari-Oskouie, I. , Mohammadi, A. & Aghamir, S. M. K. (2026). Machine Learning-Based Prediction of Urolithiasis Recurrence Using Patient's Clinical Data, Demography, and CT Findings. Urology Journal, vol. 22: 6, ss. 289-300.
Goyal, N. , Aplin, S. , Balerna, A. , Bell, P. , Casas, J. , Cascella, M. , Chatterji, S. , Cohen, C. & et al. (2026). Next generation multi-element monolithic Germanium detectors for spectroscopy : First integration at ESRF facility. Nuclear Instruments and Methods in Physics Research Section A, vol. 1081
Paul, S. , Sultana, S. , Dutta, S. , Roy, P. K. , Tejani, G. G. & Seyed Jalaleddin, M. (2026). Optimal design of wind, solar, and hydel units for solving probabilistic optimal power flow using artificial hummingbird algorithm. Energy exploration & exploitation,
Casas-Ordaz, A. , Haro, E. H. , Beltrán, L. A. , Alvarez, O. , Seyed Jalaleddin, M. , Marco, M. & Oliva, D. (2026). Particle swarm optimization : A survey of innovations over the last 10 years. Computer Science Review, vol. 60
Chen, M. , Zhang, Y. , Ye, Y. & Lu, Y. (2026). physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. Scientific Reports, vol. 16: 1
Younas, H. A. , Shoaib Khan, B. , Khan, A. H. , Bilal, A. , Algarni, A. , Sarwar, R. & Seyed Jalaleddin, M. (2026). Prediction of β-thalassemia carrier using federated learning and explainable AI. Frontiers in Medicine, vol. 13
Prasad, M. L. , Reddy, R. O. , Kautish, S. , Reddy, G. S. , Almazyad, A. S. , Mohamed, A. W. & Seyed Jalaleddin, M. (2026). Predictive analysis of drifting test cases and critical areas for enhancing embedded systems using a Gaussian distribution methodology for multi-output analysis. Egyptian Informatics Journal, vol. 33
Gond, M. , Zerman, E. , Knorr, S. & Sjöström, M. (2026). PVSDNet : Joint Depth Prediction and View Synthesis Via Shared Latent Spaces in Real-Time. IEEE Access, vol. 14, ss. 9021-9037.
Zhang, Y. , Lu, Y. , Martinez Rau, L. S. , Qiu, Q. & Bader, S. (2026). Real-time on-device weed identification using a hardware-efficient lightweight CNN. Frontiers in Plant Science, vol. 17
Roy, B. , Krug, S. & Hutschenreuther, T. (2026). Real-Time Optimal Parameter Recommendation for Injection Molding Machines Using AI with Limited Dataset. AI, vol. 7: 2
Hassan, A. , Sjöström, M. , Zhang, T. & Egiazarian, K. (2026). REDARTS : Regressive Differentiable Neural Architecture Search for Exploring Optimal Light Field Disparity Estimation Network. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 10: 1, ss. 531-542.
Amjad, H. A. , Shallari, I. , O'Nils, M. & Qureshi, F. Z. (2026). Self-Attention Enhanced Student–Teacher Framework for Visual Anomaly Detection in Industrial Images. IEEE Access, vol. 14, ss. 36318-36330.
Lu, Y. , Zhang, Y. , Qiu, X. , Ren, W. , Zhao, C. , Chen, M. , Li, Y. , Bader, S. & et al. (2026). Structural health monitoring of offshore pipelines via a novel spatial-topological adaptive graph neural network. Structural Health Monitoring,
Lu, Y. , Zhang, Y. , Liu, H. & Bader, S. (2026). TinyLSN : A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems. IEEE Internet of Things Journal,
Zhang, Y. , Nürnberg, A. , Martinez Rau, L. , Nguyen Phuong Vu, Q. , Lu, Y. , Oelmann, B. & Bader, S. (2026). TinyML pipeline for efficient crack classification in UAV-based structural health inspections. Scientific Reports, vol. 16
Mazhar, N. , Ullah, S. A. , Basheer, S. , Jung, H. , Solaija, M. S. J. , Mahmood, A. , Gidlund, M. & Hassan, S. A. (2026). Towards Trustworthy and Fresh Data Delivery in 6G IoT : A DRL-aided Cognitive NOMA and Backscatter Framework. IEEE Internet of Things Journal, vol. 13: 5, ss. 8092-8107.
Akabari, A. H. , Shah, K. V. , Surati, J. , Tejani, G. G. , Ahmed, S. & Seyed Jalaleddin, M. (2026). White analytical chemistry–aligned eco-friendly, stability-indicating HPLC and HPTLC methods for simultaneous estimation of efonidipine hydrochloride ethanolate and chlorthalidone. Journal of Taibah University for Science, vol. 20: 1
Artiklar, forskningsöversikter
Zhang, Y. , Lei, Y. , Wang, W. , Bowen, C. , Xu, Y. , Bader, S. , Arafa, M. , Cao, J. & et al. (2026). A review on energy harvesting for sustainable IoT monitoring systems. Renewable & sustainable energy reviews, vol. 232
Döhlen, V. , Lindsjö, H. & Bertilsson, K. (2026). A Review on Hydropower Hybridization for Frequency Containment, Objectives and Dimensions of Auxiliary Energy Storage. IET Renewable Power Generation, vol. 20: 1
Kuang, M. , Li, X. , Xie, F. , Zou, X. , Xiang, Y. , Zhang, Y. , Liu, D. , Zou, X. & et al. (2026). Advancements and prospects in key technologies for robotic pollination in greenhouse pepper breeding : a review. Frontiers in Plant Science, vol. 17
Merabet, A. , Saighi, A. , Laboudi, Z. , Almaktoom, A. T. , Seyed Jalaleddin, M. , Elbatal, I. & Wagdy Mohamed, A. (2026). AI for colon cancer : A focus on classification, detection, and predictive modeling. International Journal of Medical Informatics, vol. 206
Doktorsavhandlingar
Jiang, M. (2026). Measurement Quality in Acoustic Sensing with Microphones : From Indoor Localization to Heart Sound Classification. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2026 (Mid Sweden University doctoral thesis : 446)
Sánchez Leal, I. (2026). Partitioned Deep Neural Network Inference on Resource-Constrained IoT Devices : A System-Level Methodology. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2026 (Mid Sweden University doctoral thesis : 445)
Li, Y. (2026). Steered Mixture-of-Experts for Compactand Edge-aware Representation : From 2D Image Regression to 3D Radiance Fields. Diss. (Sammanläggning) Berlin : Technische Universität Berlin, 2026 (Mid Sweden University doctoral thesis : 443)
Takhtardeshir, S. (2026). VAE-Based Compression of Light Field Images Using Disentangled Latent Modeling and Perceptual Quality Assessment. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2026 (Mid Sweden University doctoral thesis : 440) (École Doctoral: Centre Inria de l’Université de Rennes : 601)
Hassan, A. (2026). Parameter-Efficient Convolutional Neural Networks for Computer Vision Applications. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2026 (Mid Sweden University doctoral thesis : 439)