{"id":"W4296706857","doi":"10.1109/tits.2022.3205596","title":"Mobile Charging Station Placements in Internet of Electric Vehicles: A Federated Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Idle; Upload; Charging station; Computer science; Enhanced Data Rates for GSM Evolution; The Internet; Real-time computing; Electric vehicle; Simulation; Computer network; Telecommunications; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Federated learning method for placing mobile EV charging stations; an engineering optimization question."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The study proposes a federated-learning method for electric-vehicle charging placement."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Federated-learning placement of mobile EV charging stations is engineering optimization, not study of research."}}}